Overview

Dataset statistics

Number of variables366
Number of observations891221
Missing cells51863595
Missing cells (%)15.9%
Total size in memory2.4 GiB
Average record size in memory2.9 KiB

Variable types

Numeric361
Categorical4
Unsupported1

Alerts

EINGEFUEGT_AM has a high cardinality: 5162 distinct valuesHigh cardinality
EINGEFUEGT_AM is highly imbalanced (66.2%)Imbalance
AGER_TYP has 677503 (76.0%) missing valuesMissing
AKT_DAT_KL has 73499 (8.2%) missing valuesMissing
ALTER_HH has 310267 (34.8%) missing valuesMissing
ALTER_KIND1 has 810163 (90.9%) missing valuesMissing
ALTER_KIND2 has 861722 (96.7%) missing valuesMissing
ALTER_KIND3 has 885051 (99.3%) missing valuesMissing
ALTER_KIND4 has 890016 (99.9%) missing valuesMissing
ALTERSKATEGORIE_FEIN has 262947 (29.5%) missing valuesMissing
ANZ_HAUSHALTE_AKTIV has 93148 (10.5%) missing valuesMissing
ANZ_HH_TITEL has 97008 (10.9%) missing valuesMissing
ANZ_KINDER has 73499 (8.2%) missing valuesMissing
ANZ_PERSONEN has 73499 (8.2%) missing valuesMissing
ANZ_STATISTISCHE_HAUSHALTE has 93148 (10.5%) missing valuesMissing
ANZ_TITEL has 73499 (8.2%) missing valuesMissing
ARBEIT has 97216 (10.9%) missing valuesMissing
BALLRAUM has 93740 (10.5%) missing valuesMissing
CAMEO_DEU_2015 has 98979 (11.1%) missing valuesMissing
CAMEO_DEUG_2015 has 99352 (11.1%) missing valuesMissing
CAMEO_INTL_2015 has 99352 (11.1%) missing valuesMissing
D19_BANKEN_ANZ_12 has 831734 (93.3%) missing valuesMissing
D19_BANKEN_ANZ_24 has 794100 (89.1%) missing valuesMissing
D19_BANKEN_DATUM has 678331 (76.1%) missing valuesMissing
D19_BANKEN_OFFLINE_DATUM has 871535 (97.8%) missing valuesMissing
D19_BANKEN_ONLINE_DATUM has 726982 (81.6%) missing valuesMissing
D19_BANKEN_ONLINE_QUOTE_12 has 257113 (28.8%) missing valuesMissing
D19_GESAMT_ANZ_12 has 584797 (65.6%) missing valuesMissing
D19_GESAMT_ANZ_24 has 505303 (56.7%) missing valuesMissing
D19_GESAMT_DATUM has 354170 (39.7%) missing valuesMissing
D19_GESAMT_OFFLINE_DATUM has 558558 (62.7%) missing valuesMissing
D19_GESAMT_ONLINE_DATUM has 450995 (50.6%) missing valuesMissing
D19_GESAMT_ONLINE_QUOTE_12 has 257113 (28.8%) missing valuesMissing
D19_KONSUMTYP has 257113 (28.8%) missing valuesMissing
D19_LETZTER_KAUF_BRANCHE has 257113 (28.8%) missing valuesMissing
D19_LOTTO has 257113 (28.8%) missing valuesMissing
D19_SOZIALES has 257113 (28.8%) missing valuesMissing
D19_TELKO_ANZ_12 has 857990 (96.3%) missing valuesMissing
D19_TELKO_ANZ_24 has 826208 (92.7%) missing valuesMissing
D19_TELKO_DATUM has 665798 (74.7%) missing valuesMissing
D19_TELKO_OFFLINE_DATUM has 819114 (91.9%) missing valuesMissing
D19_TELKO_ONLINE_DATUM has 883018 (99.1%) missing valuesMissing
D19_TELKO_ONLINE_QUOTE_12 has 257113 (28.8%) missing valuesMissing
D19_VERSAND_ANZ_12 has 637972 (71.6%) missing valuesMissing
D19_VERSAND_ANZ_24 has 563818 (63.3%) missing valuesMissing
D19_VERSAND_DATUM has 437886 (49.1%) missing valuesMissing
D19_VERSAND_OFFLINE_DATUM has 634233 (71.2%) missing valuesMissing
D19_VERSAND_ONLINE_DATUM has 494464 (55.5%) missing valuesMissing
D19_VERSAND_ONLINE_QUOTE_12 has 257113 (28.8%) missing valuesMissing
D19_VERSI_ANZ_12 has 821289 (92.2%) missing valuesMissing
D19_VERSI_ANZ_24 has 777037 (87.2%) missing valuesMissing
D19_VERSI_ONLINE_QUOTE_12 has 257113 (28.8%) missing valuesMissing
DSL_FLAG has 93148 (10.5%) missing valuesMissing
EINGEFUEGT_AM has 93148 (10.5%) missing valuesMissing
EINGEZOGENAM_HH_JAHR has 73499 (8.2%) missing valuesMissing
EWDICHTE has 93740 (10.5%) missing valuesMissing
EXTSEL992 has 654153 (73.4%) missing valuesMissing
FIRMENDICHTE has 93155 (10.5%) missing valuesMissing
GEBAEUDETYP has 93148 (10.5%) missing valuesMissing
GEBAEUDETYP_RASTER has 93155 (10.5%) missing valuesMissing
GEMEINDETYP has 97274 (10.9%) missing valuesMissing
HEALTH_TYP has 111196 (12.5%) missing valuesMissing
HH_DELTA_FLAG has 107602 (12.1%) missing valuesMissing
HH_EINKOMMEN_SCORE has 18348 (2.1%) missing valuesMissing
INNENSTADT has 93740 (10.5%) missing valuesMissing
KBA05_ALTER1 has 148110 (16.6%) missing valuesMissing
KBA05_ALTER2 has 148110 (16.6%) missing valuesMissing
KBA05_ALTER3 has 148110 (16.6%) missing valuesMissing
KBA05_ALTER4 has 148110 (16.6%) missing valuesMissing
KBA05_ANHANG has 147201 (16.5%) missing valuesMissing
KBA05_ANTG1 has 133324 (15.0%) missing valuesMissing
KBA05_ANTG2 has 133324 (15.0%) missing valuesMissing
KBA05_ANTG3 has 133324 (15.0%) missing valuesMissing
KBA05_ANTG4 has 133324 (15.0%) missing valuesMissing
KBA05_AUTOQUOT has 148115 (16.6%) missing valuesMissing
KBA05_BAUMAX has 476524 (53.5%) missing valuesMissing
KBA05_CCM1 has 148110 (16.6%) missing valuesMissing
KBA05_CCM2 has 148110 (16.6%) missing valuesMissing
KBA05_CCM3 has 148110 (16.6%) missing valuesMissing
KBA05_CCM4 has 148110 (16.6%) missing valuesMissing
KBA05_DIESEL has 148110 (16.6%) missing valuesMissing
KBA05_FRAU has 148110 (16.6%) missing valuesMissing
KBA05_GBZ has 133324 (15.0%) missing valuesMissing
KBA05_HERST1 has 148110 (16.6%) missing valuesMissing
KBA05_HERST2 has 148110 (16.6%) missing valuesMissing
KBA05_HERST3 has 148110 (16.6%) missing valuesMissing
KBA05_HERST4 has 148110 (16.6%) missing valuesMissing
KBA05_HERST5 has 148110 (16.6%) missing valuesMissing
KBA05_HERSTTEMP has 110037 (12.3%) missing valuesMissing
KBA05_KRSAQUOT has 148110 (16.6%) missing valuesMissing
KBA05_KRSHERST1 has 148110 (16.6%) missing valuesMissing
KBA05_KRSHERST2 has 148110 (16.6%) missing valuesMissing
KBA05_KRSHERST3 has 148110 (16.6%) missing valuesMissing
KBA05_KRSKLEIN has 148110 (16.6%) missing valuesMissing
KBA05_KRSOBER has 148110 (16.6%) missing valuesMissing
KBA05_KRSVAN has 148110 (16.6%) missing valuesMissing
KBA05_KRSZUL has 148110 (16.6%) missing valuesMissing
KBA05_KW1 has 148110 (16.6%) missing valuesMissing
KBA05_KW2 has 148110 (16.6%) missing valuesMissing
KBA05_KW3 has 148110 (16.6%) missing valuesMissing
KBA05_MAXAH has 148110 (16.6%) missing valuesMissing
KBA05_MAXBJ has 148110 (16.6%) missing valuesMissing
KBA05_MAXHERST has 148110 (16.6%) missing valuesMissing
KBA05_MAXSEG has 148110 (16.6%) missing valuesMissing
KBA05_MAXVORB has 148110 (16.6%) missing valuesMissing
KBA05_MOD1 has 148110 (16.6%) missing valuesMissing
KBA05_MOD2 has 148110 (16.6%) missing valuesMissing
KBA05_MOD3 has 148110 (16.6%) missing valuesMissing
KBA05_MOD4 has 148110 (16.6%) missing valuesMissing
KBA05_MOD8 has 148110 (16.6%) missing valuesMissing
KBA05_MODTEMP has 93148 (10.5%) missing valuesMissing
KBA05_MOTOR has 148110 (16.6%) missing valuesMissing
KBA05_MOTRAD has 146536 (16.4%) missing valuesMissing
KBA05_SEG1 has 148110 (16.6%) missing valuesMissing
KBA05_SEG10 has 148110 (16.6%) missing valuesMissing
KBA05_SEG2 has 148110 (16.6%) missing valuesMissing
KBA05_SEG3 has 148110 (16.6%) missing valuesMissing
KBA05_SEG4 has 148110 (16.6%) missing valuesMissing
KBA05_SEG5 has 148110 (16.6%) missing valuesMissing
KBA05_SEG6 has 148110 (16.6%) missing valuesMissing
KBA05_SEG7 has 148110 (16.6%) missing valuesMissing
KBA05_SEG8 has 148110 (16.6%) missing valuesMissing
KBA05_SEG9 has 148110 (16.6%) missing valuesMissing
KBA05_VORB0 has 148110 (16.6%) missing valuesMissing
KBA05_VORB1 has 148110 (16.6%) missing valuesMissing
KBA05_VORB2 has 148110 (16.6%) missing valuesMissing
KBA05_ZUL1 has 148110 (16.6%) missing valuesMissing
KBA05_ZUL2 has 148110 (16.6%) missing valuesMissing
KBA05_ZUL3 has 148110 (16.6%) missing valuesMissing
KBA05_ZUL4 has 148110 (16.6%) missing valuesMissing
KBA13_ALTERHALTER_30 has 105800 (11.9%) missing valuesMissing
KBA13_ALTERHALTER_45 has 105800 (11.9%) missing valuesMissing
KBA13_ALTERHALTER_60 has 105800 (11.9%) missing valuesMissing
KBA13_ALTERHALTER_61 has 105800 (11.9%) missing valuesMissing
KBA13_ANTG1 has 105800 (11.9%) missing valuesMissing
KBA13_ANTG2 has 105800 (11.9%) missing valuesMissing
KBA13_ANTG3 has 105800 (11.9%) missing valuesMissing
KBA13_ANTG4 has 105800 (11.9%) missing valuesMissing
KBA13_ANZAHL_PKW has 105800 (11.9%) missing valuesMissing
KBA13_AUDI has 105800 (11.9%) missing valuesMissing
KBA13_AUTOQUOTE has 105800 (11.9%) missing valuesMissing
KBA13_BAUMAX has 105800 (11.9%) missing valuesMissing
KBA13_BJ_1999 has 105800 (11.9%) missing valuesMissing
KBA13_BJ_2000 has 105800 (11.9%) missing valuesMissing
KBA13_BJ_2004 has 105800 (11.9%) missing valuesMissing
KBA13_BJ_2006 has 105800 (11.9%) missing valuesMissing
KBA13_BJ_2008 has 105800 (11.9%) missing valuesMissing
KBA13_BJ_2009 has 105800 (11.9%) missing valuesMissing
KBA13_BMW has 105800 (11.9%) missing valuesMissing
KBA13_CCM_0_1400 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_1000 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_1200 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_1400 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_1401_2500 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_1500 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_1600 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_1800 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_2000 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_2500 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_2501 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_3000 has 105800 (11.9%) missing valuesMissing
KBA13_CCM_3001 has 105800 (11.9%) missing valuesMissing
KBA13_FAB_ASIEN has 105800 (11.9%) missing valuesMissing
KBA13_FAB_SONSTIGE has 105800 (11.9%) missing valuesMissing
KBA13_FIAT has 105800 (11.9%) missing valuesMissing
KBA13_FORD has 105800 (11.9%) missing valuesMissing
KBA13_GBZ has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_20 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_25 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_30 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_35 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_40 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_45 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_50 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_55 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_60 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_65 has 105800 (11.9%) missing valuesMissing
KBA13_HALTER_66 has 105800 (11.9%) missing valuesMissing
KBA13_HERST_ASIEN has 105800 (11.9%) missing valuesMissing
KBA13_HERST_AUDI_VW has 105800 (11.9%) missing valuesMissing
KBA13_HERST_BMW_BENZ has 105800 (11.9%) missing valuesMissing
KBA13_HERST_EUROPA has 105800 (11.9%) missing valuesMissing
KBA13_HERST_FORD_OPEL has 105800 (11.9%) missing valuesMissing
KBA13_HERST_SONST has 105800 (11.9%) missing valuesMissing
KBA13_HHZ has 105800 (11.9%) missing valuesMissing
KBA13_KMH_0_140 has 105800 (11.9%) missing valuesMissing
KBA13_KMH_110 has 105800 (11.9%) missing valuesMissing
KBA13_KMH_140 has 105800 (11.9%) missing valuesMissing
KBA13_KMH_140_210 has 105800 (11.9%) missing valuesMissing
KBA13_KMH_180 has 105800 (11.9%) missing valuesMissing
KBA13_KMH_210 has 105800 (11.9%) missing valuesMissing
KBA13_KMH_211 has 105800 (11.9%) missing valuesMissing
KBA13_KMH_250 has 105800 (11.9%) missing valuesMissing
KBA13_KMH_251 has 105800 (11.9%) missing valuesMissing
KBA13_KRSAQUOT has 105800 (11.9%) missing valuesMissing
KBA13_KRSHERST_AUDI_VW has 105800 (11.9%) missing valuesMissing
KBA13_KRSHERST_BMW_BENZ has 105800 (11.9%) missing valuesMissing
KBA13_KRSHERST_FORD_OPEL has 105800 (11.9%) missing valuesMissing
KBA13_KRSSEG_KLEIN has 105800 (11.9%) missing valuesMissing
KBA13_KRSSEG_OBER has 105800 (11.9%) missing valuesMissing
KBA13_KRSSEG_VAN has 105800 (11.9%) missing valuesMissing
KBA13_KRSZUL_NEU has 105800 (11.9%) missing valuesMissing
KBA13_KW_0_60 has 105800 (11.9%) missing valuesMissing
KBA13_KW_110 has 105800 (11.9%) missing valuesMissing
KBA13_KW_120 has 105800 (11.9%) missing valuesMissing
KBA13_KW_121 has 105800 (11.9%) missing valuesMissing
KBA13_KW_30 has 105800 (11.9%) missing valuesMissing
KBA13_KW_40 has 105800 (11.9%) missing valuesMissing
KBA13_KW_50 has 105800 (11.9%) missing valuesMissing
KBA13_KW_60 has 105800 (11.9%) missing valuesMissing
KBA13_KW_61_120 has 105800 (11.9%) missing valuesMissing
KBA13_KW_70 has 105800 (11.9%) missing valuesMissing
KBA13_KW_80 has 105800 (11.9%) missing valuesMissing
KBA13_KW_90 has 105800 (11.9%) missing valuesMissing
KBA13_MAZDA has 105800 (11.9%) missing valuesMissing
KBA13_MERCEDES has 105800 (11.9%) missing valuesMissing
KBA13_MOTOR has 105800 (11.9%) missing valuesMissing
KBA13_NISSAN has 105800 (11.9%) missing valuesMissing
KBA13_OPEL has 105800 (11.9%) missing valuesMissing
KBA13_PEUGEOT has 105800 (11.9%) missing valuesMissing
KBA13_RENAULT has 105800 (11.9%) missing valuesMissing
KBA13_SEG_GELAENDEWAGEN has 105800 (11.9%) missing valuesMissing
KBA13_SEG_GROSSRAUMVANS has 105800 (11.9%) missing valuesMissing
KBA13_SEG_KLEINST has 105800 (11.9%) missing valuesMissing
KBA13_SEG_KLEINWAGEN has 105800 (11.9%) missing valuesMissing
KBA13_SEG_KOMPAKTKLASSE has 105800 (11.9%) missing valuesMissing
KBA13_SEG_MINIVANS has 105800 (11.9%) missing valuesMissing
KBA13_SEG_MINIWAGEN has 105800 (11.9%) missing valuesMissing
KBA13_SEG_MITTELKLASSE has 105800 (11.9%) missing valuesMissing
KBA13_SEG_OBEREMITTELKLASSE has 105800 (11.9%) missing valuesMissing
KBA13_SEG_OBERKLASSE has 105800 (11.9%) missing valuesMissing
KBA13_SEG_SONSTIGE has 105800 (11.9%) missing valuesMissing
KBA13_SEG_SPORTWAGEN has 105800 (11.9%) missing valuesMissing
KBA13_SEG_UTILITIES has 105800 (11.9%) missing valuesMissing
KBA13_SEG_VAN has 105800 (11.9%) missing valuesMissing
KBA13_SEG_WOHNMOBILE has 105800 (11.9%) missing valuesMissing
KBA13_SITZE_4 has 105800 (11.9%) missing valuesMissing
KBA13_SITZE_5 has 105800 (11.9%) missing valuesMissing
KBA13_SITZE_6 has 105800 (11.9%) missing valuesMissing
KBA13_TOYOTA has 105800 (11.9%) missing valuesMissing
KBA13_VORB_0 has 105800 (11.9%) missing valuesMissing
KBA13_VORB_1 has 105800 (11.9%) missing valuesMissing
KBA13_VORB_1_2 has 105800 (11.9%) missing valuesMissing
KBA13_VORB_2 has 105800 (11.9%) missing valuesMissing
KBA13_VORB_3 has 105800 (11.9%) missing valuesMissing
KBA13_VW has 105800 (11.9%) missing valuesMissing
KK_KUNDENTYP has 584612 (65.6%) missing valuesMissing
KKK has 158064 (17.7%) missing valuesMissing
KONSUMNAEHE has 73969 (8.3%) missing valuesMissing
KONSUMZELLE has 93155 (10.5%) missing valuesMissing
MIN_GEBAEUDEJAHR has 93148 (10.5%) missing valuesMissing
MOBI_RASTER has 93148 (10.5%) missing valuesMissing
MOBI_REGIO has 133324 (15.0%) missing valuesMissing
NATIONALITAET_KZ has 108315 (12.2%) missing valuesMissing
ORTSGR_KLS9 has 97216 (10.9%) missing valuesMissing
OST_WEST_KZ has 93148 (10.5%) missing valuesMissing
PLZ8_ANTG1 has 116515 (13.1%) missing valuesMissing
PLZ8_ANTG2 has 116515 (13.1%) missing valuesMissing
PLZ8_ANTG3 has 116515 (13.1%) missing valuesMissing
PLZ8_ANTG4 has 116515 (13.1%) missing valuesMissing
PLZ8_BAUMAX has 116515 (13.1%) missing valuesMissing
PLZ8_GBZ has 116515 (13.1%) missing valuesMissing
PLZ8_HHZ has 116515 (13.1%) missing valuesMissing
PRAEGENDE_JUGENDJAHRE has 108164 (12.1%) missing valuesMissing
REGIOTYP has 158064 (17.7%) missing valuesMissing
RELAT_AB has 97375 (10.9%) missing valuesMissing
RT_UEBERGROESSE has 51226 (5.7%) missing valuesMissing
SHOPPER_TYP has 111196 (12.5%) missing valuesMissing
SOHO_KZ has 73499 (8.2%) missing valuesMissing
STRUKTURTYP has 97274 (10.9%) missing valuesMissing
TITEL_KZ has 889061 (99.8%) missing valuesMissing
UMFELD_ALT has 97786 (11.0%) missing valuesMissing
UMFELD_JUNG has 97786 (11.0%) missing valuesMissing
UNGLEICHENN_FLAG has 73499 (8.2%) missing valuesMissing
VERDICHTUNGSRAUM has 97274 (10.9%) missing valuesMissing
VERS_TYP has 111196 (12.5%) missing valuesMissing
VHA has 73499 (8.2%) missing valuesMissing
VHN has 121196 (13.6%) missing valuesMissing
VK_DHT4A has 75917 (8.5%) missing valuesMissing
VK_DISTANZ has 75917 (8.5%) missing valuesMissing
VK_ZG11 has 75917 (8.5%) missing valuesMissing
W_KEIT_KIND_HH has 147988 (16.6%) missing valuesMissing
WOHNDAUER_2008 has 73499 (8.2%) missing valuesMissing
WOHNLAGE has 93148 (10.5%) missing valuesMissing
ANZ_HH_TITEL is highly skewed (γ1 = 22.71869357)Skewed
D19_TELKO_ONLINE_QUOTE_12 is highly skewed (γ1 = 28.50527578)Skewed
LNR has unique valuesUnique
CAMEO_INTL_2015 is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALTERSKATEGORIE_FEIN has 41188 (4.6%) zerosZeros
ANZ_HH_TITEL has 770244 (86.4%) zerosZeros
ANZ_KINDER has 731242 (82.0%) zerosZeros
ANZ_PERSONEN has 34103 (3.8%) zerosZeros
ANZ_TITEL has 814542 (91.4%) zerosZeros
D19_BANKEN_DIREKT has 728811 (81.8%) zerosZeros
D19_BANKEN_GROSS has 785351 (88.1%) zerosZeros
D19_BANKEN_LOKAL has 874745 (98.2%) zerosZeros
D19_BANKEN_ONLINE_QUOTE_12 has 588874 (66.1%) zerosZeros
D19_BANKEN_REST has 821760 (92.2%) zerosZeros
D19_BEKLEIDUNG_GEH has 809304 (90.8%) zerosZeros
D19_BEKLEIDUNG_REST has 692502 (77.7%) zerosZeros
D19_BILDUNG has 813156 (91.2%) zerosZeros
D19_BIO_OEKO has 854074 (95.8%) zerosZeros
D19_BUCH_CD has 622788 (69.9%) zerosZeros
D19_DIGIT_SERV has 857661 (96.2%) zerosZeros
D19_DROGERIEARTIKEL has 761014 (85.4%) zerosZeros
D19_ENERGIE has 829857 (93.1%) zerosZeros
D19_FREIZEIT has 790748 (88.7%) zerosZeros
D19_GARTEN has 851626 (95.6%) zerosZeros
D19_GESAMT_ONLINE_QUOTE_12 has 393075 (44.1%) zerosZeros
D19_HANDWERK has 768381 (86.2%) zerosZeros
D19_HAUS_DEKO has 713100 (80.0%) zerosZeros
D19_KINDERARTIKEL has 749365 (84.1%) zerosZeros
D19_KOSMETIK has 745836 (83.7%) zerosZeros
D19_LEBENSMITTEL has 837914 (94.0%) zerosZeros
D19_LOTTO has 490843 (55.1%) zerosZeros
D19_NAHRUNGSERGAENZUNG has 852176 (95.6%) zerosZeros
D19_RATGEBER has 805071 (90.3%) zerosZeros
D19_REISEN has 736924 (82.7%) zerosZeros
D19_SAMMELARTIKEL has 802085 (90.0%) zerosZeros
D19_SCHUHE has 773024 (86.7%) zerosZeros
D19_SONSTIGE has 505953 (56.8%) zerosZeros
D19_SOZIALES has 505828 (56.8%) zerosZeros
D19_TECHNIK has 630101 (70.7%) zerosZeros
D19_TELKO_MOBILE has 726804 (81.6%) zerosZeros
D19_TELKO_ONLINE_QUOTE_12 has 633320 (71.1%) zerosZeros
D19_TELKO_REST has 765973 (85.9%) zerosZeros
D19_TIERARTIKEL has 852220 (95.6%) zerosZeros
D19_VERSAND_ONLINE_QUOTE_12 has 417367 (46.8%) zerosZeros
D19_VERSAND_REST has 734442 (82.4%) zerosZeros
D19_VERSI_ONLINE_QUOTE_12 has 632462 (71.0%) zerosZeros
D19_VERSICHERUNGEN has 654664 (73.5%) zerosZeros
D19_VOLLSORTIMENT has 600002 (67.3%) zerosZeros
D19_WEIN_FEINKOST has 836142 (93.8%) zerosZeros
DSL_FLAG has 25685 (2.9%) zerosZeros
GEBURTSJAHR has 392318 (44.0%) zerosZeros
GREEN_AVANTGARDE has 715996 (80.3%) zerosZeros
HH_DELTA_FLAG has 710942 (79.8%) zerosZeros
KBA05_ALTER1 has 102789 (11.5%) zerosZeros
KBA05_ALTER4 has 50127 (5.6%) zerosZeros
KBA05_ANHANG has 266145 (29.9%) zerosZeros
KBA05_ANTG1 has 261049 (29.3%) zerosZeros
KBA05_ANTG2 has 292538 (32.8%) zerosZeros
KBA05_ANTG3 has 511545 (57.4%) zerosZeros
KBA05_ANTG4 has 600171 (67.3%) zerosZeros
KBA05_CCM4 has 274064 (30.8%) zerosZeros
KBA05_DIESEL has 64600 (7.2%) zerosZeros
KBA05_HERST1 has 75567 (8.5%) zerosZeros
KBA05_HERST3 has 16789 (1.9%) zerosZeros
KBA05_HERST4 has 30739 (3.4%) zerosZeros
KBA05_HERST5 has 47295 (5.3%) zerosZeros
KBA05_KW3 has 206843 (23.2%) zerosZeros
KBA05_MOD1 has 286087 (32.1%) zerosZeros
KBA05_MOD4 has 50590 (5.7%) zerosZeros
KBA05_MOD8 has 221889 (24.9%) zerosZeros
KBA05_MOTRAD has 204268 (22.9%) zerosZeros
KBA05_SEG1 has 246416 (27.6%) zerosZeros
KBA05_SEG10 has 111769 (12.5%) zerosZeros
KBA05_SEG5 has 182816 (20.5%) zerosZeros
KBA05_SEG6 has 654630 (73.5%) zerosZeros
KBA05_SEG7 has 368086 (41.3%) zerosZeros
KBA05_SEG8 has 403849 (45.3%) zerosZeros
KBA05_SEG9 has 257693 (28.9%) zerosZeros
KBA05_VORB2 has 54357 (6.1%) zerosZeros
KBA05_ZUL3 has 71287 (8.0%) zerosZeros
KBA05_ZUL4 has 105584 (11.8%) zerosZeros
KBA13_ANTG2 has 10772 (1.2%) zerosZeros
KBA13_ANTG3 has 134190 (15.1%) zerosZeros
KBA13_ANTG4 has 380795 (42.7%) zerosZeros
KBA13_BJ_2008 has 134372 (15.1%) zerosZeros
KBA13_BJ_2009 has 101115 (11.3%) zerosZeros
KBA13_CCM_0_1400 has 138711 (15.6%) zerosZeros
KBA13_CCM_1000 has 103227 (11.6%) zerosZeros
KBA13_CCM_1200 has 145802 (16.4%) zerosZeros
KBA13_CCM_1800 has 137534 (15.4%) zerosZeros
KBA13_CCM_2500 has 95350 (10.7%) zerosZeros
KBA13_CCM_2501 has 93403 (10.5%) zerosZeros
KBA13_CCM_3000 has 56562 (6.3%) zerosZeros
KBA13_KMH_0_140 has 96010 (10.8%) zerosZeros
KBA13_KMH_211 has 139463 (15.6%) zerosZeros
KBA13_KMH_250 has 139756 (15.7%) zerosZeros
KBA13_KRSZUL_NEU has 31337 (3.5%) zerosZeros
KBA13_KW_110 has 124216 (13.9%) zerosZeros
KBA13_KW_120 has 85028 (9.5%) zerosZeros
KBA13_KW_121 has 95195 (10.7%) zerosZeros
KBA13_KW_40 has 99260 (11.1%) zerosZeros
KBA13_KW_50 has 143215 (16.1%) zerosZeros
KBA13_KW_60 has 132144 (14.8%) zerosZeros
KBA13_KW_70 has 141548 (15.9%) zerosZeros
KBA13_KW_80 has 129268 (14.5%) zerosZeros
KBA13_KW_90 has 133326 (15.0%) zerosZeros
KBA13_SEG_OBERKLASSE has 86270 (9.7%) zerosZeros
KBA13_SEG_SPORTWAGEN has 83421 (9.4%) zerosZeros
KBA13_SEG_WOHNMOBILE has 85796 (9.6%) zerosZeros
KBA13_VORB_3 has 143284 (16.1%) zerosZeros
KONSUMZELLE has 609591 (68.4%) zerosZeros
LP_FAMILIE_FEIN has 72938 (8.2%) zerosZeros
LP_FAMILIE_GROB has 72938 (8.2%) zerosZeros
LP_LEBENSPHASE_FEIN has 92778 (10.4%) zerosZeros
LP_LEBENSPHASE_GROB has 89718 (10.1%) zerosZeros
ONLINE_AFFINITAET has 65716 (7.4%) zerosZeros
PLZ8_ANTG3 has 119794 (13.4%) zerosZeros
PLZ8_ANTG4 has 356389 (40.0%) zerosZeros
RT_UEBERGROESSE has 24758 (2.8%) zerosZeros
SHOPPER_TYP has 127582 (14.3%) zerosZeros
SOHO_KZ has 810834 (91.0%) zerosZeros
UNGLEICHENN_FLAG has 744072 (83.5%) zerosZeros
VERDICHTUNGSRAUM has 368782 (41.4%) zerosZeros
VHA has 665547 (74.7%) zerosZeros
VHN has 36868 (4.1%) zerosZeros

Reproduction

Analysis started2023-02-17 15:43:16.526304
Analysis finished2023-02-17 15:43:48.542649
Duration32.02 seconds
Software versionpandas-profiling v0.0.dev0
Download configurationconfig.json

Variables

LNR
Real number (ℝ)

Distinct891221
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637263
Minimum191653
Maximum1082873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:48.938122image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum191653
5-th percentile236214
Q1414458
median637263
Q3860068
95-th percentile1038312
Maximum1082873
Range891220
Interquartile range (IQR)445610

Descriptive statistics

Standard deviation257273.4865
Coefficient of variation (CV)0.4037163408
Kurtosis-1.2
Mean637263
Median Absolute Deviation (MAD)222805
Skewness-1.551882184 × 10-18
Sum5.679421681 × 1011
Variance6.618964684 × 1010
MonotonicityNot monotonic
2023-02-17T12:43:49.275337image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
910215 1
 
< 0.1%
462438 1
 
< 0.1%
645128 1
 
< 0.1%
645134 1
 
< 0.1%
711285 1
 
< 0.1%
711286 1
 
< 0.1%
711291 1
 
< 0.1%
711297 1
 
< 0.1%
711304 1
 
< 0.1%
462420 1
 
< 0.1%
Other values (891211) 891211
> 99.9%
ValueCountFrequency (%)
191653 1
< 0.1%
191654 1
< 0.1%
191655 1
< 0.1%
191656 1
< 0.1%
191657 1
< 0.1%
ValueCountFrequency (%)
1082873 1
< 0.1%
1082872 1
< 0.1%
1082871 1
< 0.1%
1082870 1
< 0.1%
1082869 1
< 0.1%

AGER_TYP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing677503
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean1.675375963
Minimum0
Maximum3
Zeros8340
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:49.482543image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7422501412
Coefficient of variation (CV)0.4430349711
Kurtosis-0.4278788592
Mean1.675375963
Median Absolute Deviation (MAD)1
Skewness0.02930300759
Sum358058
Variance0.5509352721
MonotonicityNot monotonic
2023-02-17T12:43:49.659177image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 98472
 
11.0%
1 79802
 
9.0%
3 27104
 
3.0%
0 8340
 
0.9%
(Missing) 677503
76.0%
ValueCountFrequency (%)
0 8340
 
0.9%
1 79802
9.0%
2 98472
11.0%
3 27104
 
3.0%
ValueCountFrequency (%)
3 27104
 
3.0%
2 98472
11.0%
1 79802
9.0%
0 8340
 
0.9%

AKT_DAT_KL
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean4.421928235
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:49.831182image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.638805141
Coefficient of variation (CV)0.8229000896
Kurtosis-1.765419122
Mean4.421928235
Median Absolute Deviation (MAD)2
Skewness0.2873452378
Sum3615908
Variance13.24090285
MonotonicityNot monotonic
2023-02-17T12:43:49.980126image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 390258
43.8%
9 270663
30.4%
5 29203
 
3.3%
6 27655
 
3.1%
3 24880
 
2.8%
4 21466
 
2.4%
7 21026
 
2.4%
8 17485
 
2.0%
2 15086
 
1.7%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
1 390258
43.8%
2 15086
 
1.7%
3 24880
 
2.8%
4 21466
 
2.4%
5 29203
 
3.3%
ValueCountFrequency (%)
9 270663
30.4%
8 17485
 
2.0%
7 21026
 
2.4%
6 27655
 
3.1%
5 29203
 
3.3%

ALTER_HH
Real number (ℝ)

Distinct21
Distinct (%)< 0.1%
Missing310267
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean15.29180451
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:50.179426image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q113
median16
Q318
95-th percentile21
Maximum21
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.800535724
Coefficient of variation (CV)0.2485341557
Kurtosis-0.6407266777
Mean15.29180451
Median Absolute Deviation (MAD)3
Skewness-0.4251584267
Sum8883835
Variance14.44407179
MonotonicityNot monotonic
2023-02-17T12:43:50.363817image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
18 60852
 
6.8%
17 55665
 
6.2%
19 52890
 
5.9%
15 51867
 
5.8%
16 51857
 
5.8%
14 44275
 
5.0%
21 41610
 
4.7%
20 40671
 
4.6%
13 37612
 
4.2%
12 34923
 
3.9%
Other values (11) 108732
 
12.2%
(Missing) 310267
34.8%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 47
 
< 0.1%
3 200
 
< 0.1%
4 603
0.1%
5 1030
0.1%
ValueCountFrequency (%)
21 41610
4.7%
20 40671
4.6%
19 52890
5.9%
18 60852
6.8%
17 55665
6.2%

ALTER_KIND1
Real number (ℝ)

Distinct17
Distinct (%)< 0.1%
Missing810163
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean11.74539219
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:50.551462image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q18
median12
Q315
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.097660168
Coefficient of variation (CV)0.3488738479
Kurtosis-1.03258355
Mean11.74539219
Median Absolute Deviation (MAD)4
Skewness-0.1435969542
Sum952058
Variance16.79081886
MonotonicityNot monotonic
2023-02-17T12:43:50.730931image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
18 6703
 
0.8%
17 6394
 
0.7%
8 6343
 
0.7%
7 6249
 
0.7%
16 6124
 
0.7%
15 6008
 
0.7%
14 5992
 
0.7%
9 5846
 
0.7%
13 5713
 
0.6%
10 5678
 
0.6%
Other values (7) 20008
 
2.2%
(Missing) 810163
90.9%
ValueCountFrequency (%)
2 403
 
< 0.1%
3 1063
 
0.1%
4 1084
 
0.1%
5 1501
 
0.2%
6 4875
0.5%
ValueCountFrequency (%)
18 6703
0.8%
17 6394
0.7%
16 6124
0.7%
15 6008
0.7%
14 5992
0.7%

ALTER_KIND2
Real number (ℝ)

Distinct17
Distinct (%)0.1%
Missing861722
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean13.40265772
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:50.946204image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q111
median14
Q316
95-th percentile18
Maximum18
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.243299584
Coefficient of variation (CV)0.2419892869
Kurtosis-0.6028118253
Mean13.40265772
Median Absolute Deviation (MAD)2
Skewness-0.4232316077
Sum395365
Variance10.51899219
MonotonicityNot monotonic
2023-02-17T12:43:51.145060image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
18 3128
 
0.4%
14 3111
 
0.3%
17 3085
 
0.3%
15 3083
 
0.3%
16 3010
 
0.3%
13 2968
 
0.3%
12 2628
 
0.3%
11 2450
 
0.3%
10 1953
 
0.2%
9 1641
 
0.2%
Other values (7) 2442
 
0.3%
(Missing) 861722
96.7%
ValueCountFrequency (%)
2 4
 
< 0.1%
3 15
 
< 0.1%
4 67
 
< 0.1%
5 154
 
< 0.1%
6 396
< 0.1%
ValueCountFrequency (%)
18 3128
0.4%
17 3085
0.3%
16 3010
0.3%
15 3083
0.3%
14 3111
0.3%

ALTER_KIND3
Real number (ℝ)

Distinct15
Distinct (%)0.2%
Missing885051
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean14.47601297
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:51.358422image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9
Q113
median15
Q317
95-th percentile18
Maximum18
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.712427345
Coefficient of variation (CV)0.1873739235
Kurtosis-0.05238128374
Mean14.47601297
Median Absolute Deviation (MAD)2
Skewness-0.6787809182
Sum89317
Variance7.357262104
MonotonicityNot monotonic
2023-02-17T12:43:51.541687image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
18 866
 
0.1%
15 847
 
0.1%
16 841
 
0.1%
17 826
 
0.1%
14 746
 
0.1%
13 674
 
0.1%
12 438
 
< 0.1%
11 363
 
< 0.1%
10 237
 
< 0.1%
9 159
 
< 0.1%
Other values (5) 173
 
< 0.1%
(Missing) 885051
99.3%
ValueCountFrequency (%)
4 2
 
< 0.1%
5 8
 
< 0.1%
6 21
 
< 0.1%
7 40
 
< 0.1%
8 102
< 0.1%
ValueCountFrequency (%)
18 866
0.1%
17 826
0.1%
16 841
0.1%
15 847
0.1%
14 746
0.1%

ALTER_KIND4
Real number (ℝ)

Distinct12
Distinct (%)1.0%
Missing890016
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean15.08962656
Minimum7
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:52.050297image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q114
median15
Q317
95-th percentile18
Maximum18
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.452932399
Coefficient of variation (CV)0.1625575285
Kurtosis-0.04864460676
Mean15.08962656
Median Absolute Deviation (MAD)2
Skewness-0.7730811365
Sum18183
Variance6.016877352
MonotonicityNot monotonic
2023-02-17T12:43:52.250036image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
17 225
 
< 0.1%
18 216
 
< 0.1%
15 171
 
< 0.1%
16 159
 
< 0.1%
14 136
 
< 0.1%
13 119
 
< 0.1%
12 59
 
< 0.1%
11 48
 
< 0.1%
10 42
 
< 0.1%
9 15
 
< 0.1%
Other values (2) 15
 
< 0.1%
(Missing) 890016
99.9%
ValueCountFrequency (%)
7 1
 
< 0.1%
8 14
 
< 0.1%
9 15
 
< 0.1%
10 42
< 0.1%
11 48
< 0.1%
ValueCountFrequency (%)
18 216
< 0.1%
17 225
< 0.1%
16 159
< 0.1%
15 171
< 0.1%
14 136
< 0.1%

ALTERSKATEGORIE_FEIN
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing262947
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean13.70071657
Minimum0
Maximum25
Zeros41188
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:52.496741image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median14
Q317
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.079849415
Coefficient of variation (CV)0.3707725352
Kurtosis1.198872173
Mean13.70071657
Median Absolute Deviation (MAD)3
Skewness-1.047231753
Sum8607804
Variance25.80487008
MonotonicityNot monotonic
2023-02-17T12:43:52.701975image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
15 63486
 
7.1%
14 59709
 
6.7%
16 53384
 
6.0%
18 51365
 
5.8%
17 50011
 
5.6%
13 49556
 
5.6%
12 42951
 
4.8%
19 42340
 
4.8%
0 41188
 
4.6%
10 34903
 
3.9%
Other values (16) 139381
15.6%
(Missing) 262947
29.5%
ValueCountFrequency (%)
0 41188
4.6%
1 1
 
< 0.1%
2 64
 
< 0.1%
3 218
 
< 0.1%
4 636
 
0.1%
ValueCountFrequency (%)
25 1017
 
0.1%
24 2340
 
0.3%
23 2838
 
0.3%
22 3669
 
0.4%
21 13658
1.5%

ANZ_HAUSHALTE_AKTIV
Real number (ℝ)

Distinct292
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean8.287263195
Minimum0
Maximum595
Zeros6463
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:52.960967image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median4
Q39
95-th percentile28
Maximum595
Range595
Interquartile range (IQR)8

Descriptive statistics

Standard deviation15.62808702
Coefficient of variation (CV)1.885795907
Kurtosis142.6179559
Mean8.287263195
Median Absolute Deviation (MAD)3
Skewness8.779951735
Sum6613841
Variance244.2371038
MonotonicityNot monotonic
2023-02-17T12:43:53.193081image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 195957
22.0%
2 120982
13.6%
3 62575
 
7.0%
4 43213
 
4.8%
5 37815
 
4.2%
6 36020
 
4.0%
7 34526
 
3.9%
8 32293
 
3.6%
9 29002
 
3.3%
10 25428
 
2.9%
Other values (282) 180262
20.2%
(Missing) 93148
10.5%
ValueCountFrequency (%)
0 6463
 
0.7%
1 195957
22.0%
2 120982
13.6%
3 62575
 
7.0%
4 43213
 
4.8%
ValueCountFrequency (%)
595 8
< 0.1%
536 1
 
< 0.1%
523 4
< 0.1%
515 4
< 0.1%
445 7
< 0.1%

ANZ_HH_TITEL
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing97008
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean0.04064652681
Minimum0
Maximum23
Zeros770244
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:53.466002image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3240284646
Coefficient of variation (CV)7.971861066
Kurtosis894.8859324
Mean0.04064652681
Median Absolute Deviation (MAD)0
Skewness22.71869357
Sum32282
Variance0.1049944458
MonotonicityNot monotonic
2023-02-17T12:43:53.614602image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 770244
86.4%
1 20157
 
2.3%
2 2459
 
0.3%
3 585
 
0.1%
4 232
 
< 0.1%
5 117
 
< 0.1%
6 106
 
< 0.1%
8 68
 
< 0.1%
7 65
 
< 0.1%
9 34
 
< 0.1%
Other values (11) 146
 
< 0.1%
(Missing) 97008
 
10.9%
ValueCountFrequency (%)
0 770244
86.4%
1 20157
 
2.3%
2 2459
 
0.3%
3 585
 
0.1%
4 232
 
< 0.1%
ValueCountFrequency (%)
23 3
 
< 0.1%
20 9
< 0.1%
18 6
< 0.1%
17 13
< 0.1%
16 3
 
< 0.1%

ANZ_KINDER
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.1540181137
Minimum0
Maximum11
Zeros731242
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:53.776163image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5023888664
Coefficient of variation (CV)3.261881698
Kurtosis18.38960401
Mean0.1540181137
Median Absolute Deviation (MAD)0
Skewness3.922593655
Sum125944
Variance0.2523945731
MonotonicityNot monotonic
2023-02-17T12:43:53.935510image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 731242
82.0%
1 55350
 
6.2%
2 24445
 
2.7%
3 5376
 
0.6%
4 1057
 
0.1%
5 190
 
< 0.1%
6 47
 
< 0.1%
7 10
 
< 0.1%
9 3
 
< 0.1%
11 1
 
< 0.1%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
0 731242
82.0%
1 55350
 
6.2%
2 24445
 
2.7%
3 5376
 
0.6%
4 1057
 
0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
9 3
 
< 0.1%
8 1
 
< 0.1%
7 10
 
< 0.1%
6 47
< 0.1%

ANZ_PERSONEN
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean1.727637265
Minimum0
Maximum45
Zeros34103
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:54.137681image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum45
Range45
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.155849337
Coefficient of variation (CV)0.6690347329
Kurtosis14.44942207
Mean1.727637265
Median Absolute Deviation (MAD)0
Skewness1.875265299
Sum1412727
Variance1.335987689
MonotonicityNot monotonic
2023-02-17T12:43:54.344490image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 423383
47.5%
2 195470
21.9%
3 94905
 
10.6%
4 47126
 
5.3%
0 34103
 
3.8%
5 15503
 
1.7%
6 4842
 
0.5%
7 1525
 
0.2%
8 523
 
0.1%
9 180
 
< 0.1%
Other values (20) 162
 
< 0.1%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
0 34103
 
3.8%
1 423383
47.5%
2 195470
21.9%
3 94905
 
10.6%
4 47126
 
5.3%
ValueCountFrequency (%)
45 1
< 0.1%
40 1
< 0.1%
38 2
< 0.1%
37 2
< 0.1%
35 1
< 0.1%
Distinct268
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean7.599356199
Minimum0
Maximum449
Zeros43
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:54.522365image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q39
95-th percentile26
Maximum449
Range449
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.33220143
Coefficient of variation (CV)1.88597574
Kurtosis126.886353
Mean7.599356199
Median Absolute Deviation (MAD)2
Skewness8.514017811
Sum6064841
Variance205.4119979
MonotonicityNot monotonic
2023-02-17T12:43:54.684158image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 219119
24.6%
2 121485
13.6%
3 61478
 
6.9%
4 44864
 
5.0%
5 40133
 
4.5%
6 38466
 
4.3%
7 36589
 
4.1%
8 32816
 
3.7%
9 28500
 
3.2%
10 24100
 
2.7%
Other values (258) 150523
16.9%
(Missing) 93148
10.5%
ValueCountFrequency (%)
0 43
 
< 0.1%
1 219119
24.6%
2 121485
13.6%
3 61478
 
6.9%
4 44864
 
5.0%
ValueCountFrequency (%)
449 3
 
< 0.1%
445 7
< 0.1%
375 6
< 0.1%
371 3
 
< 0.1%
369 9
< 0.1%

ANZ_TITEL
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.00416156102
Minimum0
Maximum6
Zeros814542
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:54.836747image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06885512372
Coefficient of variation (CV)16.54550381
Kurtosis450.2677478
Mean0.00416156102
Median Absolute Deviation (MAD)0
Skewness18.79279598
Sum3403
Variance0.004741028062
MonotonicityNot monotonic
2023-02-17T12:43:54.946539image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 814542
91.4%
1 2970
 
0.3%
2 202
 
< 0.1%
3 5
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
0 814542
91.4%
1 2970
 
0.3%
2 202
 
< 0.1%
3 5
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 2
 
< 0.1%
3 5
 
< 0.1%
2 202
 
< 0.1%
1 2970
0.3%

ARBEIT
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing97216
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean3.167854107
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:55.060061image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0023762
Coefficient of variation (CV)0.3164212008
Kurtosis-0.2117945621
Mean3.167854107
Median Absolute Deviation (MAD)1
Skewness-0.4612907983
Sum2515292
Variance1.004758047
MonotonicityNot monotonic
2023-02-17T12:43:55.182185image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 311339
34.9%
3 254988
28.6%
2 135662
15.2%
1 56767
 
6.4%
5 35090
 
3.9%
9 159
 
< 0.1%
(Missing) 97216
 
10.9%
ValueCountFrequency (%)
1 56767
 
6.4%
2 135662
15.2%
3 254988
28.6%
4 311339
34.9%
5 35090
 
3.9%
ValueCountFrequency (%)
9 159
 
< 0.1%
5 35090
 
3.9%
4 311339
34.9%
3 254988
28.6%
2 135662
15.2%

BALLRAUM
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.153043145
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:55.314829image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.183709883
Coefficient of variation (CV)0.5258095827
Kurtosis-1.517783243
Mean4.153043145
Median Absolute Deviation (MAD)2
Skewness-0.2395397181
Sum3311973
Variance4.768588851
MonotonicityNot monotonic
2023-02-17T12:43:55.427725image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 255093
28.6%
1 151782
17.0%
2 104521
11.7%
7 99039
 
11.1%
3 73277
 
8.2%
4 61358
 
6.9%
5 52411
 
5.9%
(Missing) 93740
 
10.5%
ValueCountFrequency (%)
1 151782
17.0%
2 104521
11.7%
3 73277
8.2%
4 61358
6.9%
5 52411
 
5.9%
ValueCountFrequency (%)
7 99039
 
11.1%
6 255093
28.6%
5 52411
 
5.9%
4 61358
 
6.9%
3 73277
 
8.2%

CAMEO_DEU_2015
Categorical

Distinct45
Distinct (%)< 0.1%
Missing98979
Missing (%)11.1%
Memory size6.8 MiB
6B
56672 
8A
 
52438
4C
 
47819
2D
 
35074
3C
 
34769
Other values (40)
565470 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8A
2nd row4C
3rd row2A
4th row6B
5th row8C

Common Values

ValueCountFrequency (%)
6B 56672
 
6.4%
8A 52438
 
5.9%
4C 47819
 
5.4%
2D 35074
 
3.9%
3C 34769
 
3.9%
7A 34399
 
3.9%
3D 34307
 
3.8%
8B 33434
 
3.8%
4A 33155
 
3.7%
8C 30993
 
3.5%
Other values (35) 399182
44.8%
(Missing) 98979
 
11.1%

CAMEO_DEUG_2015
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing99352
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean5.537664689
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:55.561414image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median6
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.489829865
Coefficient of variation (CV)0.4496173034
Kurtosis-1.244538299
Mean5.537664689
Median Absolute Deviation (MAD)2
Skewness-0.1735835076
Sum4385105
Variance6.199252757
MonotonicityNot monotonic
2023-02-17T12:43:55.677101image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 134441
15.1%
9 108177
12.1%
6 105874
11.9%
4 103912
11.7%
3 86779
9.7%
2 83231
9.3%
7 77933
8.7%
5 55310
6.2%
1 36212
 
4.1%
(Missing) 99352
11.1%
ValueCountFrequency (%)
1 36212
 
4.1%
2 83231
9.3%
3 86779
9.7%
4 103912
11.7%
5 55310
6.2%
ValueCountFrequency (%)
9 108177
12.1%
8 134441
15.1%
7 77933
8.7%
6 105874
11.9%
5 55310
6.2%

CAMEO_INTL_2015
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99352
Missing (%)11.1%
Memory size6.8 MiB

CJT_GESAMTTYP
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.632838316
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:55.803383image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.595021092
Coefficient of variation (CV)0.4390564493
Kurtosis-1.068626824
Mean3.632838316
Median Absolute Deviation (MAD)1
Skewness-0.03888466953
Sum3220028
Variance2.544092284
MonotonicityNot monotonic
2023-02-17T12:43:55.923164image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 210963
23.7%
3 156449
17.6%
6 153915
17.3%
2 148795
16.7%
5 117376
13.2%
1 98869
11.1%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 98869
11.1%
2 148795
16.7%
3 156449
17.6%
4 210963
23.7%
5 117376
13.2%
ValueCountFrequency (%)
6 153915
17.3%
5 117376
13.2%
4 210963
23.7%
3 156449
17.6%
2 148795
16.7%

CJT_KATALOGNUTZER
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.335264061
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:56.044586image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.493633238
Coefficient of variation (CV)0.4478305797
Kurtosis-1.296240559
Mean3.335264061
Median Absolute Deviation (MAD)1
Skewness-0.3517296555
Sum2956268
Variance2.230940249
MonotonicityNot monotonic
2023-02-17T12:43:56.165628image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 281804
31.6%
4 174275
19.6%
1 167426
18.8%
3 156998
17.6%
2 105864
 
11.9%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 167426
18.8%
2 105864
 
11.9%
3 156998
17.6%
4 174275
19.6%
5 281804
31.6%
ValueCountFrequency (%)
5 281804
31.6%
4 174275
19.6%
3 156998
17.6%
2 105864
 
11.9%
1 167426
18.8%

CJT_TYP_1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.36808568
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:56.293286image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.368331134
Coefficient of variation (CV)0.4062637545
Kurtosis-1.272365653
Mean3.36808568
Median Absolute Deviation (MAD)1
Skewness-0.20738815
Sum2985360
Variance1.872330092
MonotonicityNot monotonic
2023-02-17T12:43:56.408557image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 267488
30.0%
2 196545
22.1%
3 171838
19.3%
4 162940
18.3%
1 87556
 
9.8%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 87556
 
9.8%
2 196545
22.1%
3 171838
19.3%
4 162940
18.3%
5 267488
30.0%
ValueCountFrequency (%)
5 267488
30.0%
4 162940
18.3%
3 171838
19.3%
2 196545
22.1%
1 87556
 
9.8%

CJT_TYP_2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.195014029
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:56.541754image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.401382044
Coefficient of variation (CV)0.4386153023
Kurtosis-1.314657968
Mean3.195014029
Median Absolute Deviation (MAD)1
Skewness-0.07231544082
Sum2831955
Variance1.963871634
MonotonicityNot monotonic
2023-02-17T12:43:56.663783image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 233302
26.2%
2 205425
23.0%
3 173910
19.5%
4 153045
17.2%
1 120685
13.5%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 120685
13.5%
2 205425
23.0%
3 173910
19.5%
4 153045
17.2%
5 233302
26.2%
ValueCountFrequency (%)
5 233302
26.2%
4 153045
17.2%
3 173910
19.5%
2 205425
23.0%
1 120685
13.5%

CJT_TYP_3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.351290154
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:56.789125image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.39650818
Coefficient of variation (CV)0.4167076308
Kurtosis-1.277899908
Mean3.351290154
Median Absolute Deviation (MAD)1
Skewness-0.2281159196
Sum2970473
Variance1.950235097
MonotonicityNot monotonic
2023-02-17T12:43:56.908371image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 270143
30.3%
2 181803
20.4%
3 170162
19.1%
4 160469
18.0%
1 103790
 
11.6%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 103790
 
11.6%
2 181803
20.4%
3 170162
19.1%
4 160469
18.0%
5 270143
30.3%
ValueCountFrequency (%)
5 270143
30.3%
4 160469
18.0%
3 170162
19.1%
2 181803
20.4%
1 103790
 
11.6%

CJT_TYP_4
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.336150827
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:57.064383image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.373077074
Coefficient of variation (CV)0.4115752392
Kurtosis-1.236298353
Mean3.336150827
Median Absolute Deviation (MAD)1
Skewness-0.2159554074
Sum2957054
Variance1.885340652
MonotonicityNot monotonic
2023-02-17T12:43:57.209086image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 254763
28.6%
3 180975
20.3%
2 180312
20.2%
4 169791
19.1%
1 100526
 
11.3%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 100526
 
11.3%
2 180312
20.2%
3 180975
20.3%
4 169791
19.1%
5 254763
28.6%
ValueCountFrequency (%)
5 254763
28.6%
4 169791
19.1%
3 180975
20.3%
2 180312
20.2%
1 100526
 
11.3%

CJT_TYP_5
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.360683554
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:57.399009image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.378991926
Coefficient of variation (CV)0.4103307865
Kurtosis-1.242384739
Mean3.360683554
Median Absolute Deviation (MAD)1
Skewness-0.2167781689
Sum2978799
Variance1.901618732
MonotonicityNot monotonic
2023-02-17T12:43:57.523769image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 271673
30.5%
3 194636
21.8%
2 174808
19.6%
4 147220
16.5%
1 98030
 
11.0%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 98030
 
11.0%
2 174808
19.6%
3 194636
21.8%
4 147220
16.5%
5 271673
30.5%
ValueCountFrequency (%)
5 271673
30.5%
4 147220
16.5%
3 194636
21.8%
2 174808
19.6%
1 98030
 
11.0%

CJT_TYP_6
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.465979668
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:57.670251image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.3284557
Coefficient of variation (CV)0.3832843316
Kurtosis-1.150027223
Mean3.465979668
Median Absolute Deviation (MAD)1
Skewness-0.326775854
Sum3072130
Variance1.764794547
MonotonicityNot monotonic
2023-02-17T12:43:57.795808image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 272208
30.5%
4 193430
21.7%
2 175179
19.7%
3 170731
19.2%
1 74819
 
8.4%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 74819
 
8.4%
2 175179
19.7%
3 170731
19.2%
4 193430
21.7%
5 272208
30.5%
ValueCountFrequency (%)
5 272208
30.5%
4 193430
21.7%
3 170731
19.2%
2 175179
19.7%
1 74819
 
8.4%

D19_BANKEN_ANZ_12
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing831734
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean1.832803806
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:57.931385image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.080953711
Coefficient of variation (CV)0.5897814637
Kurtosis1.649471271
Mean1.832803806
Median Absolute Deviation (MAD)0
Skewness1.435351843
Sum109028
Variance1.168460926
MonotonicityNot monotonic
2023-02-17T12:43:58.077266image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 29771
 
3.3%
2 18067
 
2.0%
3 5708
 
0.6%
4 4082
 
0.5%
5 1483
 
0.2%
6 376
 
< 0.1%
(Missing) 831734
93.3%
ValueCountFrequency (%)
1 29771
3.3%
2 18067
2.0%
3 5708
 
0.6%
4 4082
 
0.5%
5 1483
 
0.2%
ValueCountFrequency (%)
6 376
 
< 0.1%
5 1483
 
0.2%
4 4082
 
0.5%
3 5708
 
0.6%
2 18067
2.0%

D19_BANKEN_ANZ_24
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing794100
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean2.017956981
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:58.215977image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.226587509
Coefficient of variation (CV)0.6078363019
Kurtosis0.7947207255
Mean2.017956981
Median Absolute Deviation (MAD)1
Skewness1.230964067
Sum195986
Variance1.504516917
MonotonicityNot monotonic
2023-02-17T12:43:58.336235image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 43554
 
4.9%
2 29079
 
3.3%
3 10214
 
1.1%
4 9041
 
1.0%
5 3930
 
0.4%
6 1303
 
0.1%
(Missing) 794100
89.1%
ValueCountFrequency (%)
1 43554
4.9%
2 29079
3.3%
3 10214
 
1.1%
4 9041
 
1.0%
5 3930
 
0.4%
ValueCountFrequency (%)
6 1303
 
0.1%
5 3930
 
0.4%
4 9041
 
1.0%
3 10214
 
1.1%
2 29079
3.3%

D19_BANKEN_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing678331
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean6.933200244
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:58.453095image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.33530607
Coefficient of variation (CV)0.3368294566
Kurtosis0.01396795339
Mean6.933200244
Median Absolute Deviation (MAD)1
Skewness-1.000799129
Sum1476009
Variance5.453654443
MonotonicityNot monotonic
2023-02-17T12:43:58.797829image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 82707
 
9.3%
8 33062
 
3.7%
5 29494
 
3.3%
7 20482
 
2.3%
6 17152
 
1.9%
1 8495
 
1.0%
4 8406
 
0.9%
2 8001
 
0.9%
3 5091
 
0.6%
(Missing) 678331
76.1%
ValueCountFrequency (%)
1 8495
 
1.0%
2 8001
 
0.9%
3 5091
 
0.6%
4 8406
 
0.9%
5 29494
3.3%
ValueCountFrequency (%)
9 82707
9.3%
8 33062
 
3.7%
7 20482
 
2.3%
6 17152
 
1.9%
5 29494
 
3.3%

D19_BANKEN_DIREKT
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8927347987
Minimum0
Maximum7
Zeros728811
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:58.933576image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.011837672
Coefficient of variation (CV)2.253566989
Kurtosis2.168067482
Mean0.8927347987
Median Absolute Deviation (MAD)0
Skewness1.975549613
Sum795624
Variance4.04749082
MonotonicityNot monotonic
2023-02-17T12:43:59.049226image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 728811
81.8%
6 84798
 
9.5%
3 27350
 
3.1%
5 18539
 
2.1%
4 8771
 
1.0%
2 8119
 
0.9%
7 7656
 
0.9%
1 7177
 
0.8%
ValueCountFrequency (%)
0 728811
81.8%
1 7177
 
0.8%
2 8119
 
0.9%
3 27350
 
3.1%
4 8771
 
1.0%
ValueCountFrequency (%)
7 7656
 
0.9%
6 84798
9.5%
5 18539
 
2.1%
4 8771
 
1.0%
3 27350
 
3.1%

D19_BANKEN_GROSS
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5685795106
Minimum0
Maximum6
Zeros785351
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:59.182460image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.643763602
Coefficient of variation (CV)2.891000417
Kurtosis5.732380031
Mean0.5685795106
Median Absolute Deviation (MAD)0
Skewness2.72238652
Sum506730
Variance2.701958781
MonotonicityNot monotonic
2023-02-17T12:43:59.294159image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 785351
88.1%
6 57103
 
6.4%
3 14862
 
1.7%
5 13911
 
1.6%
4 8165
 
0.9%
1 6347
 
0.7%
2 5482
 
0.6%
ValueCountFrequency (%)
0 785351
88.1%
1 6347
 
0.7%
2 5482
 
0.6%
3 14862
 
1.7%
4 8165
 
0.9%
ValueCountFrequency (%)
6 57103
6.4%
5 13911
 
1.6%
4 8165
 
0.9%
3 14862
 
1.7%
2 5482
 
0.6%

D19_BANKEN_LOKAL
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1067692525
Minimum0
Maximum7
Zeros874745
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:59.411842image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8081790634
Coefficient of variation (CV)7.569398907
Kurtosis60.04532759
Mean0.1067692525
Median Absolute Deviation (MAD)0
Skewness7.777010935
Sum95155
Variance0.6531533985
MonotonicityNot monotonic
2023-02-17T12:43:59.517558image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 874745
98.2%
7 8522
 
1.0%
3 3500
 
0.4%
6 3202
 
0.4%
5 1053
 
0.1%
2 118
 
< 0.1%
4 69
 
< 0.1%
1 12
 
< 0.1%
ValueCountFrequency (%)
0 874745
98.2%
1 12
 
< 0.1%
2 118
 
< 0.1%
3 3500
 
0.4%
4 69
 
< 0.1%
ValueCountFrequency (%)
7 8522
1.0%
6 3202
 
0.4%
5 1053
 
0.1%
4 69
 
< 0.1%
3 3500
0.4%

D19_BANKEN_OFFLINE_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing871535
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean6.685817332
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:59.646367image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.421747419
Coefficient of variation (CV)0.3622215952
Kurtosis-0.4533048727
Mean6.685817332
Median Absolute Deviation (MAD)1
Skewness-0.8897550099
Sum131617
Variance5.864860564
MonotonicityNot monotonic
2023-02-17T12:43:59.765435image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 6451
 
0.7%
9 5297
 
0.6%
5 4177
 
0.5%
2 2058
 
0.2%
6 509
 
0.1%
1 476
 
0.1%
7 335
 
< 0.1%
4 311
 
< 0.1%
3 72
 
< 0.1%
(Missing) 871535
97.8%
ValueCountFrequency (%)
1 476
 
0.1%
2 2058
0.2%
3 72
 
< 0.1%
4 311
 
< 0.1%
5 4177
0.5%
ValueCountFrequency (%)
9 5297
0.6%
8 6451
0.7%
7 335
 
< 0.1%
6 509
 
0.1%
5 4177
0.5%

D19_BANKEN_ONLINE_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing726982
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean6.956204068
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:43:59.898077image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.332828753
Coefficient of variation (CV)0.3353594475
Kurtosis0.04466345143
Mean6.956204068
Median Absolute Deviation (MAD)1
Skewness-1.00754937
Sum1142480
Variance5.442089991
MonotonicityNot monotonic
2023-02-17T12:44:00.016757image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 66077
 
7.4%
8 22939
 
2.6%
5 22124
 
2.5%
7 16321
 
1.8%
6 13668
 
1.5%
1 6917
 
0.8%
4 6869
 
0.8%
2 4965
 
0.6%
3 4359
 
0.5%
(Missing) 726982
81.6%
ValueCountFrequency (%)
1 6917
 
0.8%
2 4965
 
0.6%
3 4359
 
0.5%
4 6869
 
0.8%
5 22124
2.5%
ValueCountFrequency (%)
9 66077
7.4%
8 22939
 
2.6%
7 16321
 
1.8%
6 13668
 
1.5%
5 22124
 
2.5%

D19_BANKEN_ONLINE_QUOTE_12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.7052205618
Minimum0
Maximum10
Zeros588874
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:00.152391image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.552707473
Coefficient of variation (CV)3.619729219
Kurtosis9.269283652
Mean0.7052205618
Median Absolute Deviation (MAD)0
Skewness3.354041234
Sum447186
Variance6.516315445
MonotonicityNot monotonic
2023-02-17T12:44:00.280266image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 588874
66.1%
10 44065
 
4.9%
5 391
 
< 0.1%
3 220
 
< 0.1%
7 214
 
< 0.1%
8 172
 
< 0.1%
9 67
 
< 0.1%
6 50
 
< 0.1%
2 35
 
< 0.1%
4 18
 
< 0.1%
(Missing) 257113
28.8%
ValueCountFrequency (%)
0 588874
66.1%
1 2
 
< 0.1%
2 35
 
< 0.1%
3 220
 
< 0.1%
4 18
 
< 0.1%
ValueCountFrequency (%)
10 44065
4.9%
9 67
 
< 0.1%
8 172
 
< 0.1%
7 214
 
< 0.1%
6 50
 
< 0.1%

D19_BANKEN_REST
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4256452664
Minimum0
Maximum7
Zeros821760
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:00.400721image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.510782005
Coefficient of variation (CV)3.549392239
Kurtosis9.772301708
Mean0.4256452664
Median Absolute Deviation (MAD)0
Skewness3.389116791
Sum379344
Variance2.282462268
MonotonicityNot monotonic
2023-02-17T12:44:00.510573image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 821760
92.2%
6 43143
 
4.8%
5 7744
 
0.9%
7 7339
 
0.8%
3 5943
 
0.7%
2 2928
 
0.3%
4 1448
 
0.2%
1 916
 
0.1%
ValueCountFrequency (%)
0 821760
92.2%
1 916
 
0.1%
2 2928
 
0.3%
3 5943
 
0.7%
4 1448
 
0.2%
ValueCountFrequency (%)
7 7339
 
0.8%
6 43143
4.8%
5 7744
 
0.9%
4 1448
 
0.2%
3 5943
 
0.7%

D19_BEKLEIDUNG_GEH
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4678693612
Minimum0
Maximum7
Zeros809304
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:00.633985image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.542150743
Coefficient of variation (CV)3.296113981
Kurtosis8.575243035
Mean0.4678693612
Median Absolute Deviation (MAD)0
Skewness3.183221612
Sum416975
Variance2.378228914
MonotonicityNot monotonic
2023-02-17T12:44:00.744510image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 809304
90.8%
6 39392
 
4.4%
3 15239
 
1.7%
5 11899
 
1.3%
7 8478
 
1.0%
2 3117
 
0.3%
4 2013
 
0.2%
1 1779
 
0.2%
ValueCountFrequency (%)
0 809304
90.8%
1 1779
 
0.2%
2 3117
 
0.3%
3 15239
 
1.7%
4 2013
 
0.2%
ValueCountFrequency (%)
7 8478
 
1.0%
6 39392
4.4%
5 11899
 
1.3%
4 2013
 
0.2%
3 15239
 
1.7%

D19_BEKLEIDUNG_REST
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.145516095
Minimum0
Maximum7
Zeros692502
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:00.885130image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.266998592
Coefficient of variation (CV)1.979019414
Kurtosis0.8072089987
Mean1.145516095
Median Absolute Deviation (MAD)0
Skewness1.613705085
Sum1020908
Variance5.139282617
MonotonicityNot monotonic
2023-02-17T12:44:00.999837image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 692502
77.7%
6 109025
 
12.2%
3 30201
 
3.4%
7 19637
 
2.2%
5 18554
 
2.1%
2 8748
 
1.0%
1 7262
 
0.8%
4 5292
 
0.6%
ValueCountFrequency (%)
0 692502
77.7%
1 7262
 
0.8%
2 8748
 
1.0%
3 30201
 
3.4%
4 5292
 
0.6%
ValueCountFrequency (%)
7 19637
 
2.2%
6 109025
12.2%
5 18554
 
2.1%
4 5292
 
0.6%
3 30201
 
3.4%

D19_BILDUNG
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4855080839
Minimum0
Maximum7
Zeros813156
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:01.138653image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.639339895
Coefficient of variation (CV)3.376545004
Kurtosis8.789013383
Mean0.4855080839
Median Absolute Deviation (MAD)0
Skewness3.236373733
Sum432695
Variance2.687435291
MonotonicityNot monotonic
2023-02-17T12:44:01.254754image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 813156
91.2%
6 37502
 
4.2%
7 21828
 
2.4%
2 8582
 
1.0%
3 5127
 
0.6%
5 3363
 
0.4%
4 1288
 
0.1%
1 375
 
< 0.1%
ValueCountFrequency (%)
0 813156
91.2%
1 375
 
< 0.1%
2 8582
 
1.0%
3 5127
 
0.6%
4 1288
 
0.1%
ValueCountFrequency (%)
7 21828
2.4%
6 37502
4.2%
5 3363
 
0.4%
4 1288
 
0.1%
3 5127
 
0.6%

D19_BIO_OEKO
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2579382667
Minimum0
Maximum7
Zeros854074
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:01.377502image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.252328077
Coefficient of variation (CV)4.855146514
Kurtosis20.70782897
Mean0.2579382667
Median Absolute Deviation (MAD)0
Skewness4.732438138
Sum229880
Variance1.568325611
MonotonicityNot monotonic
2023-02-17T12:44:01.489506image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 854074
95.8%
6 17732
 
2.0%
7 15241
 
1.7%
5 2121
 
0.2%
3 1926
 
0.2%
4 83
 
< 0.1%
2 42
 
< 0.1%
1 2
 
< 0.1%
ValueCountFrequency (%)
0 854074
95.8%
1 2
 
< 0.1%
2 42
 
< 0.1%
3 1926
 
0.2%
4 83
 
< 0.1%
ValueCountFrequency (%)
7 15241
1.7%
6 17732
2.0%
5 2121
 
0.2%
4 83
 
< 0.1%
3 1926
 
0.2%

D19_BUCH_CD
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.585404742
Minimum0
Maximum7
Zeros622788
Zeros (%)69.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:01.615858image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.547925475
Coefficient of variation (CV)1.60711357
Kurtosis-0.721059398
Mean1.585404742
Median Absolute Deviation (MAD)0
Skewness1.081502492
Sum1412946
Variance6.491924228
MonotonicityNot monotonic
2023-02-17T12:44:01.729753image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 622788
69.9%
6 188263
 
21.1%
3 26192
 
2.9%
5 15900
 
1.8%
1 11735
 
1.3%
2 9187
 
1.0%
7 8853
 
1.0%
4 8303
 
0.9%
ValueCountFrequency (%)
0 622788
69.9%
1 11735
 
1.3%
2 9187
 
1.0%
3 26192
 
2.9%
4 8303
 
0.9%
ValueCountFrequency (%)
7 8853
 
1.0%
6 188263
21.1%
5 15900
 
1.8%
4 8303
 
0.9%
3 26192
 
2.9%

D19_DIGIT_SERV
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1967458128
Minimum0
Maximum7
Zeros857661
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:01.857688image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.036761626
Coefficient of variation (CV)5.269548618
Kurtosis27.29309336
Mean0.1967458128
Median Absolute Deviation (MAD)0
Skewness5.331820494
Sum175344
Variance1.074874669
MonotonicityNot monotonic
2023-02-17T12:44:01.975082image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 857661
96.2%
6 17942
 
2.0%
3 6153
 
0.7%
7 4030
 
0.5%
5 3225
 
0.4%
2 1293
 
0.1%
4 465
 
0.1%
1 452
 
0.1%
ValueCountFrequency (%)
0 857661
96.2%
1 452
 
0.1%
2 1293
 
0.1%
3 6153
 
0.7%
4 465
 
0.1%
ValueCountFrequency (%)
7 4030
 
0.5%
6 17942
2.0%
5 3225
 
0.4%
4 465
 
0.1%
3 6153
 
0.7%

D19_DROGERIEARTIKEL
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6732920342
Minimum0
Maximum7
Zeros761014
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:02.103426image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.752757614
Coefficient of variation (CV)2.603265039
Kurtosis4.475394192
Mean0.6732920342
Median Absolute Deviation (MAD)0
Skewness2.4550082
Sum600052
Variance3.072159252
MonotonicityNot monotonic
2023-02-17T12:44:02.224098image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 761014
85.4%
6 52060
 
5.8%
3 24763
 
2.8%
5 17548
 
2.0%
4 10951
 
1.2%
2 9928
 
1.1%
7 7841
 
0.9%
1 7116
 
0.8%
ValueCountFrequency (%)
0 761014
85.4%
1 7116
 
0.8%
2 9928
 
1.1%
3 24763
 
2.8%
4 10951
 
1.2%
ValueCountFrequency (%)
7 7841
 
0.9%
6 52060
5.8%
5 17548
 
2.0%
4 10951
 
1.2%
3 24763
2.8%

D19_ENERGIE
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3468544839
Minimum0
Maximum7
Zeros829857
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:02.354307image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.337269246
Coefficient of variation (CV)3.855418649
Kurtosis13.41220687
Mean0.3468544839
Median Absolute Deviation (MAD)0
Skewness3.838273892
Sum309124
Variance1.788289036
MonotonicityNot monotonic
2023-02-17T12:44:02.467012image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 829857
93.1%
6 25788
 
2.9%
3 14572
 
1.6%
5 9556
 
1.1%
7 7655
 
0.9%
2 1967
 
0.2%
4 1185
 
0.1%
1 641
 
0.1%
ValueCountFrequency (%)
0 829857
93.1%
1 641
 
0.1%
2 1967
 
0.2%
3 14572
 
1.6%
4 1185
 
0.1%
ValueCountFrequency (%)
7 7655
 
0.9%
6 25788
2.9%
5 9556
 
1.1%
4 1185
 
0.1%
3 14572
1.6%

D19_FREIZEIT
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5906784064
Minimum0
Maximum7
Zeros790748
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:02.593661image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.721602058
Coefficient of variation (CV)2.914618242
Kurtosis5.660377566
Mean0.5906784064
Median Absolute Deviation (MAD)0
Skewness2.712950351
Sum526425
Variance2.963913646
MonotonicityNot monotonic
2023-02-17T12:44:02.704569image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 790748
88.7%
6 55056
 
6.2%
3 15297
 
1.7%
5 13587
 
1.5%
7 8514
 
1.0%
4 3990
 
0.4%
2 2676
 
0.3%
1 1353
 
0.2%
ValueCountFrequency (%)
0 790748
88.7%
1 1353
 
0.2%
2 2676
 
0.3%
3 15297
 
1.7%
4 3990
 
0.4%
ValueCountFrequency (%)
7 8514
 
1.0%
6 55056
6.2%
5 13587
 
1.5%
4 3990
 
0.4%
3 15297
 
1.7%

D19_GARTEN
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2559926214
Minimum0
Maximum7
Zeros851626
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:02.829040image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.213047558
Coefficient of variation (CV)4.738603603
Kurtosis20.21717778
Mean0.2559926214
Median Absolute Deviation (MAD)0
Skewness4.662702276
Sum228146
Variance1.471484378
MonotonicityNot monotonic
2023-02-17T12:44:02.941777image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 851626
95.6%
6 20410
 
2.3%
7 9555
 
1.1%
5 4979
 
0.6%
3 4003
 
0.4%
4 328
 
< 0.1%
2 265
 
< 0.1%
1 55
 
< 0.1%
ValueCountFrequency (%)
0 851626
95.6%
1 55
 
< 0.1%
2 265
 
< 0.1%
3 4003
 
0.4%
4 328
 
< 0.1%
ValueCountFrequency (%)
7 9555
1.1%
6 20410
2.3%
5 4979
 
0.6%
4 328
 
< 0.1%
3 4003
 
0.4%

D19_GESAMT_ANZ_12
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing584797
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean2.320027152
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:03.057464image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.272181307
Coefficient of variation (CV)0.5483475941
Kurtosis-0.2998090434
Mean2.320027152
Median Absolute Deviation (MAD)1
Skewness0.7724850224
Sum710912
Variance1.618445278
MonotonicityNot monotonic
2023-02-17T12:44:03.171059image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 99465
 
11.2%
2 97282
 
10.9%
3 45685
 
5.1%
4 43579
 
4.9%
5 16966
 
1.9%
6 3447
 
0.4%
(Missing) 584797
65.6%
ValueCountFrequency (%)
1 99465
11.2%
2 97282
10.9%
3 45685
5.1%
4 43579
4.9%
5 16966
 
1.9%
ValueCountFrequency (%)
6 3447
 
0.4%
5 16966
 
1.9%
4 43579
4.9%
3 45685
5.1%
2 97282
10.9%

D19_GESAMT_ANZ_24
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing505303
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean2.864012562
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:03.287719image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.497982778
Coefficient of variation (CV)0.5230363852
Kurtosis-0.9589795773
Mean2.864012562
Median Absolute Deviation (MAD)1
Skewness0.3869807691
Sum1105274
Variance2.243952402
MonotonicityNot monotonic
2023-02-17T12:44:03.408458image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 101785
 
11.4%
1 86493
 
9.7%
4 74210
 
8.3%
3 58554
 
6.6%
5 46547
 
5.2%
6 18329
 
2.1%
(Missing) 505303
56.7%
ValueCountFrequency (%)
1 86493
9.7%
2 101785
11.4%
3 58554
6.6%
4 74210
8.3%
5 46547
5.2%
ValueCountFrequency (%)
6 18329
 
2.1%
5 46547
5.2%
4 74210
8.3%
3 58554
6.6%
2 101785
11.4%

D19_GESAMT_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing354170
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean5.140640274
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:03.526079image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.782870951
Coefficient of variation (CV)0.5413471478
Kurtosis-1.30080492
Mean5.140640274
Median Absolute Deviation (MAD)3
Skewness-0.04172127985
Sum2760786
Variance7.744370728
MonotonicityNot monotonic
2023-02-17T12:44:03.643027image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 98281
 
11.0%
5 93740
 
10.5%
1 76009
 
8.5%
2 59774
 
6.7%
8 52852
 
5.9%
4 44031
 
4.9%
6 42008
 
4.7%
7 37486
 
4.2%
3 32870
 
3.7%
(Missing) 354170
39.7%
ValueCountFrequency (%)
1 76009
8.5%
2 59774
6.7%
3 32870
 
3.7%
4 44031
4.9%
5 93740
10.5%
ValueCountFrequency (%)
9 98281
11.0%
8 52852
5.9%
7 37486
 
4.2%
6 42008
4.7%
5 93740
10.5%

D19_GESAMT_OFFLINE_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing558558
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean7.413848249
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:03.776606image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.047269732
Coefficient of variation (CV)0.2761413052
Kurtosis1.133280896
Mean7.413848249
Median Absolute Deviation (MAD)1
Skewness-1.375128385
Sum2466313
Variance4.191313357
MonotonicityNot monotonic
2023-02-17T12:44:03.899233image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 147456
 
16.5%
8 69382
 
7.8%
5 34827
 
3.9%
7 27784
 
3.1%
6 22717
 
2.5%
4 9547
 
1.1%
2 9188
 
1.0%
1 6311
 
0.7%
3 5451
 
0.6%
(Missing) 558558
62.7%
ValueCountFrequency (%)
1 6311
 
0.7%
2 9188
 
1.0%
3 5451
 
0.6%
4 9547
 
1.1%
5 34827
3.9%
ValueCountFrequency (%)
9 147456
16.5%
8 69382
7.8%
7 27784
 
3.1%
6 22717
 
2.5%
5 34827
 
3.9%

D19_GESAMT_ONLINE_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing450995
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean5.304018845
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:04.034467image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.747412695
Coefficient of variation (CV)0.5179869785
Kurtosis-1.243357277
Mean5.304018845
Median Absolute Deviation (MAD)3
Skewness-0.1215522129
Sum2334967
Variance7.548276517
MonotonicityNot monotonic
2023-02-17T12:44:04.156989image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 86118
 
9.7%
5 79773
 
9.0%
1 57331
 
6.4%
8 42628
 
4.8%
2 41391
 
4.6%
6 36995
 
4.2%
4 36227
 
4.1%
7 33434
 
3.8%
3 26329
 
3.0%
(Missing) 450995
50.6%
ValueCountFrequency (%)
1 57331
6.4%
2 41391
4.6%
3 26329
 
3.0%
4 36227
4.1%
5 79773
9.0%
ValueCountFrequency (%)
9 86118
9.7%
8 42628
4.8%
7 33434
 
3.8%
6 36995
4.2%
5 79773
9.0%

D19_GESAMT_ONLINE_QUOTE_12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean3.560951762
Minimum0
Maximum10
Zeros393075
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:04.311566image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.658537684
Coefficient of variation (CV)1.308228248
Kurtosis-1.603932033
Mean3.560951762
Median Absolute Deviation (MAD)0
Skewness0.5886854726
Sum2258028
Variance21.70197335
MonotonicityNot monotonic
2023-02-17T12:44:04.436153image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 393075
44.1%
10 199906
22.4%
5 10517
 
1.2%
8 9467
 
1.1%
7 6923
 
0.8%
9 6046
 
0.7%
3 3543
 
0.4%
6 1679
 
0.2%
2 1066
 
0.1%
4 1017
 
0.1%
(Missing) 257113
28.8%
ValueCountFrequency (%)
0 393075
44.1%
1 869
 
0.1%
2 1066
 
0.1%
3 3543
 
0.4%
4 1017
 
0.1%
ValueCountFrequency (%)
10 199906
22.4%
9 6046
 
0.7%
8 9467
 
1.1%
7 6923
 
0.8%
6 1679
 
0.2%

D19_HANDWERK
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8419942977
Minimum0
Maximum7
Zeros768381
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:04.556828image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.119703265
Coefficient of variation (CV)2.517479359
Kurtosis2.691117597
Mean0.8419942977
Median Absolute Deviation (MAD)0
Skewness2.149109132
Sum750403
Variance4.493141932
MonotonicityNot monotonic
2023-02-17T12:44:04.664334image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 768381
86.2%
6 90968
 
10.2%
7 25319
 
2.8%
5 3810
 
0.4%
3 2465
 
0.3%
4 184
 
< 0.1%
2 87
 
< 0.1%
1 7
 
< 0.1%
ValueCountFrequency (%)
0 768381
86.2%
1 7
 
< 0.1%
2 87
 
< 0.1%
3 2465
 
0.3%
4 184
 
< 0.1%
ValueCountFrequency (%)
7 25319
 
2.8%
6 90968
10.2%
5 3810
 
0.4%
4 184
 
< 0.1%
3 2465
 
0.3%

D19_HAUS_DEKO
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.017851913
Minimum0
Maximum7
Zeros713100
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:04.787251image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.144350331
Coefficient of variation (CV)2.106740974
Kurtosis1.350673895
Mean1.017851913
Median Absolute Deviation (MAD)0
Skewness1.770905762
Sum907131
Variance4.598238343
MonotonicityNot monotonic
2023-02-17T12:44:04.905651image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 713100
80.0%
6 100720
 
11.3%
3 31024
 
3.5%
5 20748
 
2.3%
7 10278
 
1.2%
2 7476
 
0.8%
1 4133
 
0.5%
4 3742
 
0.4%
ValueCountFrequency (%)
0 713100
80.0%
1 4133
 
0.5%
2 7476
 
0.8%
3 31024
 
3.5%
4 3742
 
0.4%
ValueCountFrequency (%)
7 10278
 
1.2%
6 100720
11.3%
5 20748
 
2.3%
4 3742
 
0.4%
3 31024
 
3.5%

D19_KINDERARTIKEL
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8706572219
Minimum0
Maximum7
Zeros749365
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:05.036797image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.077302903
Coefficient of variation (CV)2.38590211
Kurtosis2.530702709
Mean0.8706572219
Median Absolute Deviation (MAD)0
Skewness2.080699659
Sum775948
Variance4.31518735
MonotonicityNot monotonic
2023-02-17T12:44:05.150858image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 749365
84.1%
6 79320
 
8.9%
7 22597
 
2.5%
3 16402
 
1.8%
5 13398
 
1.5%
2 5842
 
0.7%
4 3224
 
0.4%
1 1073
 
0.1%
ValueCountFrequency (%)
0 749365
84.1%
1 1073
 
0.1%
2 5842
 
0.7%
3 16402
 
1.8%
4 3224
 
0.4%
ValueCountFrequency (%)
7 22597
 
2.5%
6 79320
8.9%
5 13398
 
1.5%
4 3224
 
0.4%
3 16402
 
1.8%

D19_KONSUMTYP
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean5.424539668
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:05.279233image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.234275463
Coefficient of variation (CV)0.5962304012
Kurtosis-1.620701327
Mean5.424539668
Median Absolute Deviation (MAD)4
Skewness-0.07216050728
Sum3439744
Variance10.46053777
MonotonicityNot monotonic
2023-02-17T12:44:05.394541image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
9 254296
28.5%
1 117912
13.2%
4 78262
 
8.8%
6 56562
 
6.3%
3 53330
 
6.0%
2 49324
 
5.5%
5 24422
 
2.7%
(Missing) 257113
28.8%
ValueCountFrequency (%)
1 117912
13.2%
2 49324
5.5%
3 53330
6.0%
4 78262
8.8%
5 24422
 
2.7%
ValueCountFrequency (%)
9 254296
28.5%
6 56562
 
6.3%
5 24422
 
2.7%
4 78262
 
8.8%
3 53330
 
6.0%

D19_KONSUMTYP_MAX
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.849228194
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:05.548769image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.225761975
Coefficient of variation (CV)0.5514850623
Kurtosis-1.591701794
Mean5.849228194
Median Absolute Deviation (MAD)1
Skewness-0.4339861885
Sum5212955
Variance10.40554032
MonotonicityNot monotonic
2023-02-17T12:44:05.674486image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 260285
29.2%
9 257113
28.8%
1 144570
16.2%
2 91423
 
10.3%
4 75752
 
8.5%
3 62078
 
7.0%
ValueCountFrequency (%)
1 144570
16.2%
2 91423
 
10.3%
3 62078
 
7.0%
4 75752
 
8.5%
8 260285
29.2%
ValueCountFrequency (%)
9 257113
28.8%
8 260285
29.2%
4 75752
 
8.5%
3 62078
 
7.0%
2 91423
 
10.3%

D19_KOSMETIK
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0301014
Minimum0
Maximum7
Zeros745836
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:05.810273image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.347222584
Coefficient of variation (CV)2.278632554
Kurtosis1.541369181
Mean1.0301014
Median Absolute Deviation (MAD)0
Skewness1.86526696
Sum918048
Variance5.509453861
MonotonicityNot monotonic
2023-02-17T12:44:05.928610image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 745836
83.7%
6 89353
 
10.0%
7 52858
 
5.9%
5 1292
 
0.1%
3 1263
 
0.1%
4 269
 
< 0.1%
2 249
 
< 0.1%
1 101
 
< 0.1%
ValueCountFrequency (%)
0 745836
83.7%
1 101
 
< 0.1%
2 249
 
< 0.1%
3 1263
 
0.1%
4 269
 
< 0.1%
ValueCountFrequency (%)
7 52858
5.9%
6 89353
10.0%
5 1292
 
0.1%
4 269
 
< 0.1%
3 1263
 
0.1%

D19_LEBENSMITTEL
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3195245624
Minimum0
Maximum7
Zeros837914
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:06.414997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.316089627
Coefficient of variation (CV)4.118899709
Kurtosis15.11640273
Mean0.3195245624
Median Absolute Deviation (MAD)0
Skewness4.070427464
Sum284767
Variance1.732091907
MonotonicityNot monotonic
2023-02-17T12:44:06.545097image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 837914
94.0%
6 27626
 
3.1%
3 10044
 
1.1%
7 8318
 
0.9%
5 5198
 
0.6%
2 1315
 
0.1%
4 409
 
< 0.1%
1 397
 
< 0.1%
ValueCountFrequency (%)
0 837914
94.0%
1 397
 
< 0.1%
2 1315
 
0.1%
3 10044
 
1.1%
4 409
 
< 0.1%
ValueCountFrequency (%)
7 8318
 
0.9%
6 27626
3.1%
5 5198
 
0.6%
4 409
 
< 0.1%
3 10044
 
1.1%
Distinct35
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Memory size6.8 MiB
D19_UNBEKANNT
195338 
D19_VERSICHERUNGEN
57734 
D19_SONSTIGE
44722 
D19_VOLLSORTIMENT
34812 
D19_SCHUHE
32578 
Other values (30)
268924 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD19_UNBEKANNT
2nd rowD19_UNBEKANNT
3rd rowD19_SCHUHE
4th rowD19_ENERGIE
5th rowD19_UNBEKANNT

Common Values

ValueCountFrequency (%)
D19_UNBEKANNT 195338
21.9%
D19_VERSICHERUNGEN 57734
 
6.5%
D19_SONSTIGE 44722
 
5.0%
D19_VOLLSORTIMENT 34812
 
3.9%
D19_SCHUHE 32578
 
3.7%
D19_BUCH_CD 28754
 
3.2%
D19_VERSAND_REST 26034
 
2.9%
D19_DROGERIEARTIKEL 24072
 
2.7%
D19_BANKEN_DIREKT 23273
 
2.6%
D19_BEKLEIDUNG_REST 21796
 
2.4%
Other values (25) 144995
16.3%
(Missing) 257113
28.8%

D19_LOTTO
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.521732891
Minimum0
Maximum7
Zeros490843
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:06.687440image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.832520981
Coefficient of variation (CV)1.861378563
Kurtosis-0.1702684246
Mean1.521732891
Median Absolute Deviation (MAD)0
Skewness1.341508541
Sum964943
Variance8.023175109
MonotonicityNot monotonic
2023-02-17T12:44:06.808334image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 490843
55.1%
7 113486
 
12.7%
6 25736
 
2.9%
5 2011
 
0.2%
3 1869
 
0.2%
4 78
 
< 0.1%
2 66
 
< 0.1%
1 19
 
< 0.1%
(Missing) 257113
28.8%
ValueCountFrequency (%)
0 490843
55.1%
1 19
 
< 0.1%
2 66
 
< 0.1%
3 1869
 
0.2%
4 78
 
< 0.1%
ValueCountFrequency (%)
7 113486
12.7%
6 25736
 
2.9%
5 2011
 
0.2%
4 78
 
< 0.1%
3 1869
 
0.2%

D19_NAHRUNGSERGAENZUNG
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2445240855
Minimum0
Maximum7
Zeros852176
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:06.938823image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.184654187
Coefficient of variation (CV)4.84473415
Kurtosis22.0998643
Mean0.2445240855
Median Absolute Deviation (MAD)0
Skewness4.841231013
Sum217925
Variance1.403405544
MonotonicityNot monotonic
2023-02-17T12:44:07.045869image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 852176
95.6%
6 15778
 
1.8%
7 11596
 
1.3%
3 5768
 
0.6%
5 4243
 
0.5%
2 679
 
0.1%
1 572
 
0.1%
4 409
 
< 0.1%
ValueCountFrequency (%)
0 852176
95.6%
1 572
 
0.1%
2 679
 
0.1%
3 5768
 
0.6%
4 409
 
< 0.1%
ValueCountFrequency (%)
7 11596
1.3%
6 15778
1.8%
5 4243
 
0.5%
4 409
 
< 0.1%
3 5768
 
0.6%

D19_RATGEBER
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5028303866
Minimum0
Maximum7
Zeros805071
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:07.168089image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.616870573
Coefficient of variation (CV)3.215538711
Kurtosis7.916111676
Mean0.5028303866
Median Absolute Deviation (MAD)0
Skewness3.088104446
Sum448133
Variance2.61427045
MonotonicityNot monotonic
2023-02-17T12:44:07.278792image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 805071
90.3%
6 44707
 
5.0%
7 12287
 
1.4%
3 10598
 
1.2%
2 8334
 
0.9%
5 7197
 
0.8%
4 2136
 
0.2%
1 891
 
0.1%
ValueCountFrequency (%)
0 805071
90.3%
1 891
 
0.1%
2 8334
 
0.9%
3 10598
 
1.2%
4 2136
 
0.2%
ValueCountFrequency (%)
7 12287
 
1.4%
6 44707
5.0%
5 7197
 
0.8%
4 2136
 
0.2%
3 10598
 
1.2%

D19_REISEN
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.048627669
Minimum0
Maximum7
Zeros736924
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:07.395624image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.329346976
Coefficient of variation (CV)2.221328928
Kurtosis1.410457606
Mean1.048627669
Median Absolute Deviation (MAD)0
Skewness1.82118668
Sum934559
Variance5.425857335
MonotonicityNot monotonic
2023-02-17T12:44:07.503757image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 736924
82.7%
6 94123
 
10.6%
7 45315
 
5.1%
3 5758
 
0.6%
5 5149
 
0.6%
2 2975
 
0.3%
4 890
 
0.1%
1 87
 
< 0.1%
ValueCountFrequency (%)
0 736924
82.7%
1 87
 
< 0.1%
2 2975
 
0.3%
3 5758
 
0.6%
4 890
 
0.1%
ValueCountFrequency (%)
7 45315
5.1%
6 94123
10.6%
5 5149
 
0.6%
4 890
 
0.1%
3 5758
 
0.6%

D19_SAMMELARTIKEL
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5946056029
Minimum0
Maximum7
Zeros802085
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:07.627121image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.798291114
Coefficient of variation (CV)3.024342699
Kurtosis5.541964347
Mean0.5946056029
Median Absolute Deviation (MAD)0
Skewness2.729534579
Sum529925
Variance3.23385093
MonotonicityNot monotonic
2023-02-17T12:44:07.735317image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 802085
90.0%
6 71297
 
8.0%
7 10067
 
1.1%
5 4072
 
0.5%
3 3016
 
0.3%
4 470
 
0.1%
2 172
 
< 0.1%
1 42
 
< 0.1%
ValueCountFrequency (%)
0 802085
90.0%
1 42
 
< 0.1%
2 172
 
< 0.1%
3 3016
 
0.3%
4 470
 
0.1%
ValueCountFrequency (%)
7 10067
 
1.1%
6 71297
8.0%
5 4072
 
0.5%
4 470
 
0.1%
3 3016
 
0.3%

D19_SCHUHE
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5108183043
Minimum0
Maximum7
Zeros773024
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:07.855225image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433293004
Coefficient of variation (CV)2.80587636
Kurtosis7.427577596
Mean0.5108183043
Median Absolute Deviation (MAD)0
Skewness2.88407437
Sum455252
Variance2.054328836
MonotonicityNot monotonic
2023-02-17T12:44:07.967101image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 773024
86.7%
3 46487
 
5.2%
6 20589
 
2.3%
5 19947
 
2.2%
2 17071
 
1.9%
7 5632
 
0.6%
1 4976
 
0.6%
4 3495
 
0.4%
ValueCountFrequency (%)
0 773024
86.7%
1 4976
 
0.6%
2 17071
 
1.9%
3 46487
 
5.2%
4 3495
 
0.4%
ValueCountFrequency (%)
7 5632
 
0.6%
6 20589
2.3%
5 19947
2.2%
4 3495
 
0.4%
3 46487
5.2%

D19_SONSTIGE
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.365958612
Minimum0
Maximum7
Zeros505953
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:08.088325image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.861577014
Coefficient of variation (CV)1.209478898
Kurtosis-1.610906026
Mean2.365958612
Median Absolute Deviation (MAD)0
Skewness0.4965648036
Sum2108592
Variance8.18862301
MonotonicityNot monotonic
2023-02-17T12:44:08.200555image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 505953
56.8%
6 220478
24.7%
7 58373
 
6.5%
3 44578
 
5.0%
5 35028
 
3.9%
2 10816
 
1.2%
4 10204
 
1.1%
1 5791
 
0.6%
ValueCountFrequency (%)
0 505953
56.8%
1 5791
 
0.6%
2 10816
 
1.2%
3 44578
 
5.0%
4 10204
 
1.1%
ValueCountFrequency (%)
7 58373
 
6.5%
6 220478
24.7%
5 35028
 
3.9%
4 10204
 
1.1%
3 44578
 
5.0%

D19_SOZIALES
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.657908432
Minimum0
Maximum5
Zeros505828
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:08.315735image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.457773725
Coefficient of variation (CV)2.215769938
Kurtosis2.641717346
Mean0.657908432
Median Absolute Deviation (MAD)0
Skewness2.047175557
Sum417185
Variance2.125104234
MonotonicityNot monotonic
2023-02-17T12:44:08.434180image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 505828
56.8%
4 36514
 
4.1%
5 30414
 
3.4%
1 25128
 
2.8%
3 21483
 
2.4%
2 14741
 
1.7%
(Missing) 257113
28.8%
ValueCountFrequency (%)
0 505828
56.8%
1 25128
 
2.8%
2 14741
 
1.7%
3 21483
 
2.4%
4 36514
 
4.1%
ValueCountFrequency (%)
5 30414
3.4%
4 36514
4.1%
3 21483
2.4%
2 14741
1.7%
1 25128
2.8%

D19_TECHNIK
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.738563162
Minimum0
Maximum7
Zeros630101
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:08.543670image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.740416536
Coefficient of variation (CV)1.576253653
Kurtosis-0.9707793303
Mean1.738563162
Median Absolute Deviation (MAD)0
Skewness0.9818040267
Sum1549444
Variance7.50988279
MonotonicityNot monotonic
2023-02-17T12:44:08.644434image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 630101
70.7%
6 190979
 
21.4%
7 41174
 
4.6%
5 14389
 
1.6%
3 11064
 
1.2%
4 1846
 
0.2%
2 1163
 
0.1%
1 505
 
0.1%
ValueCountFrequency (%)
0 630101
70.7%
1 505
 
0.1%
2 1163
 
0.1%
3 11064
 
1.2%
4 1846
 
0.2%
ValueCountFrequency (%)
7 41174
 
4.6%
6 190979
21.4%
5 14389
 
1.6%
4 1846
 
0.2%
3 11064
 
1.2%

D19_TELKO_ANZ_12
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing857990
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean1.315639012
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:08.766100image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6321762232
Coefficient of variation (CV)0.4805088763
Kurtosis9.371027197
Mean1.315639012
Median Absolute Deviation (MAD)0
Skewness2.642382227
Sum43720
Variance0.3996467772
MonotonicityNot monotonic
2023-02-17T12:44:08.884749image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 24868
 
2.8%
2 6954
 
0.8%
3 865
 
0.1%
4 406
 
< 0.1%
5 103
 
< 0.1%
6 35
 
< 0.1%
(Missing) 857990
96.3%
ValueCountFrequency (%)
1 24868
2.8%
2 6954
 
0.8%
3 865
 
0.1%
4 406
 
< 0.1%
5 103
 
< 0.1%
ValueCountFrequency (%)
6 35
 
< 0.1%
5 103
 
< 0.1%
4 406
 
< 0.1%
3 865
 
0.1%
2 6954
0.8%

D19_TELKO_ANZ_24
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing826208
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean1.354436805
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:08.995635image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6503092504
Coefficient of variation (CV)0.4801325895
Kurtosis7.300661166
Mean1.354436805
Median Absolute Deviation (MAD)0
Skewness2.337948195
Sum88056
Variance0.4229021212
MonotonicityNot monotonic
2023-02-17T12:44:09.103325image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 46520
 
5.2%
2 15343
 
1.7%
3 2055
 
0.2%
4 844
 
0.1%
5 197
 
< 0.1%
6 54
 
< 0.1%
(Missing) 826208
92.7%
ValueCountFrequency (%)
1 46520
5.2%
2 15343
 
1.7%
3 2055
 
0.2%
4 844
 
0.1%
5 197
 
< 0.1%
ValueCountFrequency (%)
6 54
 
< 0.1%
5 197
 
< 0.1%
4 844
 
0.1%
3 2055
 
0.2%
2 15343
1.7%

D19_TELKO_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing665798
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean7.741446081
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:09.218906image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.825843634
Coefficient of variation (CV)0.2358530454
Kurtosis2.296362077
Mean7.741446081
Median Absolute Deviation (MAD)0
Skewness-1.654066584
Sum1745100
Variance3.333704977
MonotonicityNot monotonic
2023-02-17T12:44:09.328483image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 117950
 
13.2%
8 42460
 
4.8%
5 19492
 
2.2%
7 18163
 
2.0%
6 13619
 
1.5%
4 5314
 
0.6%
1 3079
 
0.3%
2 2818
 
0.3%
3 2528
 
0.3%
(Missing) 665798
74.7%
ValueCountFrequency (%)
1 3079
 
0.3%
2 2818
 
0.3%
3 2528
 
0.3%
4 5314
 
0.6%
5 19492
2.2%
ValueCountFrequency (%)
9 117950
13.2%
8 42460
 
4.8%
7 18163
 
2.0%
6 13619
 
1.5%
5 19492
 
2.2%

D19_TELKO_MOBILE
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.009936929
Minimum0
Maximum7
Zeros726804
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:09.456350image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.18710219
Coefficient of variation (CV)2.165582946
Kurtosis1.300496888
Mean1.009936929
Median Absolute Deviation (MAD)0
Skewness1.782552536
Sum900077
Variance4.78341599
MonotonicityNot monotonic
2023-02-17T12:44:09.567949image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 726804
81.6%
6 116433
 
13.1%
3 16429
 
1.8%
5 14257
 
1.6%
7 8222
 
0.9%
4 3573
 
0.4%
2 3558
 
0.4%
1 1945
 
0.2%
ValueCountFrequency (%)
0 726804
81.6%
1 1945
 
0.2%
2 3558
 
0.4%
3 16429
 
1.8%
4 3573
 
0.4%
ValueCountFrequency (%)
7 8222
 
0.9%
6 116433
13.1%
5 14257
 
1.6%
4 3573
 
0.4%
3 16429
 
1.8%

D19_TELKO_OFFLINE_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing819114
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean7.874616889
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:09.689563image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.650423675
Coefficient of variation (CV)0.2095878058
Kurtosis3.105566518
Mean7.874616889
Median Absolute Deviation (MAD)0
Skewness-1.806552668
Sum567815
Variance2.723898307
MonotonicityNot monotonic
2023-02-17T12:44:09.797190image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 36707
 
4.1%
8 18620
 
2.1%
5 6309
 
0.7%
6 3971
 
0.4%
7 3590
 
0.4%
4 1169
 
0.1%
1 682
 
0.1%
2 544
 
0.1%
3 515
 
0.1%
(Missing) 819114
91.9%
ValueCountFrequency (%)
1 682
 
0.1%
2 544
 
0.1%
3 515
 
0.1%
4 1169
 
0.1%
5 6309
0.7%
ValueCountFrequency (%)
9 36707
4.1%
8 18620
2.1%
7 3590
 
0.4%
6 3971
 
0.4%
5 6309
 
0.7%

D19_TELKO_ONLINE_DATUM
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing883018
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean8.020480312
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:09.923310image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.558833968
Coefficient of variation (CV)0.1943566853
Kurtosis4.228450769
Mean8.020480312
Median Absolute Deviation (MAD)0
Skewness-2.019603669
Sum65792
Variance2.429963339
MonotonicityNot monotonic
2023-02-17T12:44:10.029267image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 4664
 
0.5%
8 1728
 
0.2%
7 566
 
0.1%
5 496
 
0.1%
6 457
 
0.1%
4 114
 
< 0.1%
1 68
 
< 0.1%
3 64
 
< 0.1%
2 46
 
< 0.1%
(Missing) 883018
99.1%
ValueCountFrequency (%)
1 68
 
< 0.1%
2 46
 
< 0.1%
3 64
 
< 0.1%
4 114
 
< 0.1%
5 496
0.1%
ValueCountFrequency (%)
9 4664
0.5%
8 1728
 
0.2%
7 566
 
0.1%
6 457
 
0.1%
5 496
 
0.1%

D19_TELKO_ONLINE_QUOTE_12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.01226131826
Minimum0
Maximum10
Zeros633320
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:10.146595image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3487803263
Coefficient of variation (CV)28.44558137
Kurtosis811.9035815
Mean0.01226131826
Median Absolute Deviation (MAD)0
Skewness28.50527578
Sum7775
Variance0.121647716
MonotonicityNot monotonic
2023-02-17T12:44:10.260441image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 633320
71.1%
10 767
 
0.1%
5 19
 
< 0.1%
7 1
 
< 0.1%
3 1
 
< 0.1%
(Missing) 257113
28.8%
ValueCountFrequency (%)
0 633320
71.1%
3 1
 
< 0.1%
5 19
 
< 0.1%
7 1
 
< 0.1%
10 767
 
0.1%
ValueCountFrequency (%)
10 767
 
0.1%
7 1
 
< 0.1%
5 19
 
< 0.1%
3 1
 
< 0.1%
0 633320
71.1%

D19_TELKO_REST
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7799962075
Minimum0
Maximum7
Zeros765973
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:10.370178image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.969723658
Coefficient of variation (CV)2.525299019
Kurtosis2.971448125
Mean0.7799962075
Median Absolute Deviation (MAD)0
Skewness2.199683327
Sum695149
Variance3.879811288
MonotonicityNot monotonic
2023-02-17T12:44:10.477931image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 765973
85.9%
6 88346
 
9.9%
5 15301
 
1.7%
3 11467
 
1.3%
7 5905
 
0.7%
4 2402
 
0.3%
2 1397
 
0.2%
1 430
 
< 0.1%
ValueCountFrequency (%)
0 765973
85.9%
1 430
 
< 0.1%
2 1397
 
0.2%
3 11467
 
1.3%
4 2402
 
0.3%
ValueCountFrequency (%)
7 5905
 
0.7%
6 88346
9.9%
5 15301
 
1.7%
4 2402
 
0.3%
3 11467
 
1.3%

D19_TIERARTIKEL
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2431776181
Minimum0
Maximum7
Zeros852220
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:10.594140image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.170808787
Coefficient of variation (CV)4.814623963
Kurtosis21.54744599
Mean0.2431776181
Median Absolute Deviation (MAD)0
Skewness4.788953418
Sum216725
Variance1.370793217
MonotonicityNot monotonic
2023-02-17T12:44:10.705642image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 852220
95.6%
6 20168
 
2.3%
7 7945
 
0.9%
3 6030
 
0.7%
5 3809
 
0.4%
2 553
 
0.1%
4 455
 
0.1%
1 41
 
< 0.1%
ValueCountFrequency (%)
0 852220
95.6%
1 41
 
< 0.1%
2 553
 
0.1%
3 6030
 
0.7%
4 455
 
0.1%
ValueCountFrequency (%)
7 7945
 
0.9%
6 20168
2.3%
5 3809
 
0.4%
4 455
 
0.1%
3 6030
 
0.7%

D19_VERSAND_ANZ_12
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing637972
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean2.127838609
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:10.816157image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.19023181
Coefficient of variation (CV)0.5593618822
Kurtosis0.1062519448
Mean2.127838609
Median Absolute Deviation (MAD)1
Skewness0.9491133362
Sum538873
Variance1.41665176
MonotonicityNot monotonic
2023-02-17T12:44:10.930080image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 96577
 
10.8%
2 81616
 
9.2%
3 34258
 
3.8%
4 29393
 
3.3%
5 9712
 
1.1%
6 1693
 
0.2%
(Missing) 637972
71.6%
ValueCountFrequency (%)
1 96577
10.8%
2 81616
9.2%
3 34258
 
3.8%
4 29393
 
3.3%
5 9712
 
1.1%
ValueCountFrequency (%)
6 1693
 
0.2%
5 9712
 
1.1%
4 29393
 
3.3%
3 34258
3.8%
2 81616
9.2%

D19_VERSAND_ANZ_24
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing563818
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean2.610125747
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:11.033203image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.434433426
Coefficient of variation (CV)0.5495648736
Kurtosis-0.713384582
Mean2.610125747
Median Absolute Deviation (MAD)1
Skewness0.586007133
Sum854563
Variance2.057599255
MonotonicityNot monotonic
2023-02-17T12:44:11.136275image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 93666
 
10.5%
1 90253
 
10.1%
4 55016
 
6.2%
3 47832
 
5.4%
5 30398
 
3.4%
6 10238
 
1.1%
(Missing) 563818
63.3%
ValueCountFrequency (%)
1 90253
10.1%
2 93666
10.5%
3 47832
5.4%
4 55016
6.2%
5 30398
 
3.4%
ValueCountFrequency (%)
6 10238
 
1.1%
5 30398
 
3.4%
4 55016
6.2%
3 47832
5.4%
2 93666
10.5%

D19_VERSAND_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing437886
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean5.512548116
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:11.256800image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.770593979
Coefficient of variation (CV)0.5025976955
Kurtosis-1.248225947
Mean5.512548116
Median Absolute Deviation (MAD)3
Skewness-0.2176956671
Sum2499031
Variance7.676190998
MonotonicityNot monotonic
2023-02-17T12:44:11.365164image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 100846
 
11.3%
5 78589
 
8.8%
1 53921
 
6.1%
8 50332
 
5.6%
2 40994
 
4.6%
6 37125
 
4.2%
4 34157
 
3.8%
7 32104
 
3.6%
3 25267
 
2.8%
(Missing) 437886
49.1%
ValueCountFrequency (%)
1 53921
6.1%
2 40994
4.6%
3 25267
 
2.8%
4 34157
3.8%
5 78589
8.8%
ValueCountFrequency (%)
9 100846
11.3%
8 50332
5.6%
7 32104
 
3.6%
6 37125
 
4.2%
5 78589
8.8%

D19_VERSAND_OFFLINE_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing634233
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean7.665439631
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:11.495141image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.863683564
Coefficient of variation (CV)0.2431280727
Kurtosis2.155157407
Mean7.665439631
Median Absolute Deviation (MAD)1
Skewness-1.628646942
Sum1969926
Variance3.473316427
MonotonicityNot monotonic
2023-02-17T12:44:11.606840image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 124063
 
13.9%
8 57907
 
6.5%
5 22691
 
2.5%
7 19855
 
2.2%
6 15543
 
1.7%
4 5363
 
0.6%
2 4845
 
0.5%
1 3450
 
0.4%
3 3271
 
0.4%
(Missing) 634233
71.2%
ValueCountFrequency (%)
1 3450
 
0.4%
2 4845
 
0.5%
3 3271
 
0.4%
4 5363
 
0.6%
5 22691
2.5%
ValueCountFrequency (%)
9 124063
13.9%
8 57907
6.5%
7 19855
 
2.2%
6 15543
 
1.7%
5 22691
 
2.5%

D19_VERSAND_ONLINE_DATUM
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing494464
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean5.378251675
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:11.734623image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.756698509
Coefficient of variation (CV)0.512564059
Kurtosis-1.24541902
Mean5.378251675
Median Absolute Deviation (MAD)3
Skewness-0.151563495
Sum2133859
Variance7.599386671
MonotonicityNot monotonic
2023-02-17T12:44:11.847579image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 82541
 
9.3%
5 70781
 
7.9%
1 49813
 
5.6%
8 38330
 
4.3%
2 37014
 
4.2%
6 34143
 
3.8%
4 31525
 
3.5%
7 29454
 
3.3%
3 23156
 
2.6%
(Missing) 494464
55.5%
ValueCountFrequency (%)
1 49813
5.6%
2 37014
4.2%
3 23156
 
2.6%
4 31525
3.5%
5 70781
7.9%
ValueCountFrequency (%)
9 82541
9.3%
8 38330
4.3%
7 29454
 
3.3%
6 34143
3.8%
5 70781
7.9%

D19_VERSAND_ONLINE_QUOTE_12
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean3.244431548
Minimum0
Maximum10
Zeros417367
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:11.970162image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.586604267
Coefficient of variation (CV)1.413685017
Kurtosis-1.411343211
Mean3.244431548
Median Absolute Deviation (MAD)0
Skewness0.7413724714
Sum2057320
Variance21.0369387
MonotonicityNot monotonic
2023-02-17T12:44:12.081295image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 417367
46.8%
10 187652
21.1%
5 8034
 
0.9%
8 6419
 
0.7%
7 4920
 
0.6%
9 3931
 
0.4%
3 2653
 
0.3%
6 1080
 
0.1%
2 751
 
0.1%
4 739
 
0.1%
(Missing) 257113
28.8%
ValueCountFrequency (%)
0 417367
46.8%
1 562
 
0.1%
2 751
 
0.1%
3 2653
 
0.3%
4 739
 
0.1%
ValueCountFrequency (%)
10 187652
21.1%
9 3931
 
0.4%
8 6419
 
0.7%
7 4920
 
0.6%
6 1080
 
0.1%

D19_VERSAND_REST
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.829549573
Minimum0
Maximum7
Zeros734442
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:12.196651image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.912499309
Coefficient of variation (CV)2.305467173
Kurtosis2.63734736
Mean0.829549573
Median Absolute Deviation (MAD)0
Skewness2.070417007
Sum739312
Variance3.657653605
MonotonicityNot monotonic
2023-02-17T12:44:12.308227image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 734442
82.4%
6 69248
 
7.8%
3 39251
 
4.4%
5 25227
 
2.8%
2 7560
 
0.8%
7 5770
 
0.6%
4 4901
 
0.5%
1 4822
 
0.5%
ValueCountFrequency (%)
0 734442
82.4%
1 4822
 
0.5%
2 7560
 
0.8%
3 39251
 
4.4%
4 4901
 
0.5%
ValueCountFrequency (%)
7 5770
 
0.6%
6 69248
7.8%
5 25227
 
2.8%
4 4901
 
0.5%
3 39251
4.4%

D19_VERSI_ANZ_12
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing821289
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean1.447692044
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:12.426812image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6919402679
Coefficient of variation (CV)0.4779609524
Kurtosis3.6252066
Mean1.447692044
Median Absolute Deviation (MAD)0
Skewness1.754012325
Sum101240
Variance0.4787813344
MonotonicityNot monotonic
2023-02-17T12:44:12.536343image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 44933
 
5.0%
2 20273
 
2.3%
3 3335
 
0.4%
4 1210
 
0.1%
5 170
 
< 0.1%
6 11
 
< 0.1%
(Missing) 821289
92.2%
ValueCountFrequency (%)
1 44933
5.0%
2 20273
2.3%
3 3335
 
0.4%
4 1210
 
0.1%
5 170
 
< 0.1%
ValueCountFrequency (%)
6 11
 
< 0.1%
5 170
 
< 0.1%
4 1210
 
0.1%
3 3335
 
0.4%
2 20273
2.3%

D19_VERSI_ANZ_24
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing777037
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean1.615646676
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:12.640081image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8340326308
Coefficient of variation (CV)0.5162221688
Kurtosis2.463262283
Mean1.615646676
Median Absolute Deviation (MAD)0
Skewness1.528547686
Sum184481
Variance0.6956104293
MonotonicityNot monotonic
2023-02-17T12:44:12.749866image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 63340
 
7.1%
2 37144
 
4.2%
3 8848
 
1.0%
4 4048
 
0.5%
5 707
 
0.1%
6 97
 
< 0.1%
(Missing) 777037
87.2%
ValueCountFrequency (%)
1 63340
7.1%
2 37144
4.2%
3 8848
 
1.0%
4 4048
 
0.5%
5 707
 
0.1%
ValueCountFrequency (%)
6 97
 
< 0.1%
5 707
 
0.1%
4 4048
 
0.5%
3 8848
 
1.0%
2 37144
4.2%

D19_VERSI_DATUM
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.142562844
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:12.861587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.911185722
Coefficient of variation (CV)0.2090426672
Kurtosis6.061957322
Mean9.142562844
Median Absolute Deviation (MAD)0
Skewness-2.571540321
Sum8148044
Variance3.652630863
MonotonicityNot monotonic
2023-02-17T12:44:12.966467image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10 660478
74.1%
9 80231
 
9.0%
8 36328
 
4.1%
5 29040
 
3.3%
6 23236
 
2.6%
7 21016
 
2.4%
2 15916
 
1.8%
4 9593
 
1.1%
1 8760
 
1.0%
3 6623
 
0.7%
ValueCountFrequency (%)
1 8760
 
1.0%
2 15916
1.8%
3 6623
 
0.7%
4 9593
 
1.1%
5 29040
3.3%
ValueCountFrequency (%)
10 660478
74.1%
9 80231
 
9.0%
8 36328
 
4.1%
7 21016
 
2.4%
6 23236
 
2.6%

D19_VERSI_OFFLINE_DATUM
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.922648816
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:13.091205image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5026652349
Coefficient of variation (CV)0.050658372
Kurtosis97.48171996
Mean9.922648816
Median Absolute Deviation (MAD)0
Skewness-9.035337778
Sum8843273
Variance0.2526723384
MonotonicityNot monotonic
2023-02-17T12:44:13.198755image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10 858212
96.3%
9 17992
 
2.0%
8 7013
 
0.8%
5 3368
 
0.4%
7 1911
 
0.2%
6 1586
 
0.2%
4 544
 
0.1%
2 207
 
< 0.1%
3 205
 
< 0.1%
1 183
 
< 0.1%
ValueCountFrequency (%)
1 183
 
< 0.1%
2 207
 
< 0.1%
3 205
 
< 0.1%
4 544
 
0.1%
5 3368
0.4%
ValueCountFrequency (%)
10 858212
96.3%
9 17992
 
2.0%
8 7013
 
0.8%
7 1911
 
0.2%
6 1586
 
0.2%

D19_VERSI_ONLINE_DATUM
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.976711725
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:13.317383image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3111910919
Coefficient of variation (CV)0.0311917494
Kurtosis330.6294738
Mean9.976711725
Median Absolute Deviation (MAD)0
Skewness-16.95221773
Sum8891455
Variance0.0968398957
MonotonicityNot monotonic
2023-02-17T12:44:13.425580image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10 883826
99.2%
9 2766
 
0.3%
8 1254
 
0.1%
7 1045
 
0.1%
5 982
 
0.1%
6 684
 
0.1%
4 292
 
< 0.1%
2 136
 
< 0.1%
3 132
 
< 0.1%
1 104
 
< 0.1%
ValueCountFrequency (%)
1 104
 
< 0.1%
2 136
 
< 0.1%
3 132
 
< 0.1%
4 292
 
< 0.1%
5 982
0.1%
ValueCountFrequency (%)
10 883826
99.2%
9 2766
 
0.3%
8 1254
 
0.1%
7 1045
 
0.1%
6 684
 
0.1%

D19_VERSI_ONLINE_QUOTE_12
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing257113
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean0.02522756376
Minimum0
Maximum10
Zeros632462
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:13.536536image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4980100736
Coefficient of variation (CV)19.74071212
Kurtosis392.4967988
Mean0.02522756376
Median Absolute Deviation (MAD)0
Skewness19.82712069
Sum15997
Variance0.2480140334
MonotonicityNot monotonic
2023-02-17T12:44:13.644894image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 632462
71.0%
10 1548
 
0.2%
5 70
 
< 0.1%
7 11
 
< 0.1%
3 9
 
< 0.1%
8 6
 
< 0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
(Missing) 257113
28.8%
ValueCountFrequency (%)
0 632462
71.0%
3 9
 
< 0.1%
5 70
 
< 0.1%
6 1
 
< 0.1%
7 11
 
< 0.1%
ValueCountFrequency (%)
10 1548
0.2%
9 1
 
< 0.1%
8 6
 
< 0.1%
7 11
 
< 0.1%
6 1
 
< 0.1%

D19_VERSICHERUNGEN
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.259786293
Minimum0
Maximum7
Zeros654664
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:13.755997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.253954199
Coefficient of variation (CV)1.789155995
Kurtosis0.2188703704
Mean1.259786293
Median Absolute Deviation (MAD)0
Skewness1.405449114
Sum1122748
Variance5.08030953
MonotonicityNot monotonic
2023-02-17T12:44:13.864443image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 654664
73.5%
6 116559
 
13.1%
3 44933
 
5.0%
5 30998
 
3.5%
2 14892
 
1.7%
4 13254
 
1.5%
1 10107
 
1.1%
7 5814
 
0.7%
ValueCountFrequency (%)
0 654664
73.5%
1 10107
 
1.1%
2 14892
 
1.7%
3 44933
 
5.0%
4 13254
 
1.5%
ValueCountFrequency (%)
7 5814
 
0.7%
6 116559
13.1%
5 30998
 
3.5%
4 13254
 
1.5%
3 44933
 
5.0%

D19_VOLLSORTIMENT
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.728497197
Minimum0
Maximum7
Zeros600002
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:13.989635image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.605193077
Coefficient of variation (CV)1.507201216
Kurtosis-0.9302481604
Mean1.728497197
Median Absolute Deviation (MAD)0
Skewness0.9580696057
Sum1540473
Variance6.787030967
MonotonicityNot monotonic
2023-02-17T12:44:14.101988image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 600002
67.3%
6 173626
 
19.5%
3 44589
 
5.0%
5 31303
 
3.5%
7 23231
 
2.6%
2 8250
 
0.9%
4 6366
 
0.7%
1 3854
 
0.4%
ValueCountFrequency (%)
0 600002
67.3%
1 3854
 
0.4%
2 8250
 
0.9%
3 44589
 
5.0%
4 6366
 
0.7%
ValueCountFrequency (%)
7 23231
 
2.6%
6 173626
19.5%
5 31303
 
3.5%
4 6366
 
0.7%
3 44589
 
5.0%

D19_WEIN_FEINKOST
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3775146681
Minimum0
Maximum7
Zeros836142
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:14.224715image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.493150872
Coefficient of variation (CV)3.955212865
Kurtosis12.5432718
Mean0.3775146681
Median Absolute Deviation (MAD)0
Skewness3.781988175
Sum336449
Variance2.229499526
MonotonicityNot monotonic
2023-02-17T12:44:14.333430image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 836142
93.8%
6 27556
 
3.1%
7 20665
 
2.3%
3 3460
 
0.4%
5 2952
 
0.3%
4 231
 
< 0.1%
2 179
 
< 0.1%
1 36
 
< 0.1%
ValueCountFrequency (%)
0 836142
93.8%
1 36
 
< 0.1%
2 179
 
< 0.1%
3 3460
 
0.4%
4 231
 
< 0.1%
ValueCountFrequency (%)
7 20665
2.3%
6 27556
3.1%
5 2952
 
0.3%
4 231
 
< 0.1%
3 3460
 
0.4%

DSL_FLAG
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean0.9678162273
Minimum0
Maximum1
Zeros25685
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:14.450372image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1764880066
Coefficient of variation (CV)0.1823569409
Kurtosis26.10498436
Mean0.9678162273
Median Absolute Deviation (MAD)0
Skewness-5.30140726
Sum772388
Variance0.03114801647
MonotonicityNot monotonic
2023-02-17T12:44:14.561848image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 772388
86.7%
0 25685
 
2.9%
(Missing) 93148
 
10.5%
ValueCountFrequency (%)
0 25685
 
2.9%
1 772388
86.7%
ValueCountFrequency (%)
1 772388
86.7%
0 25685
 
2.9%

EINGEFUEGT_AM
Categorical

HIGH CARDINALITY  IMBALANCE  MISSING 

Distinct5162
Distinct (%)0.6%
Missing93148
Missing (%)10.5%
Memory size6.8 MiB
1992-02-10 00:00:00
383738 
1992-02-12 00:00:00
192264 
1995-02-07 00:00:00
 
11181
2005-12-16 00:00:00
 
6291
2003-11-18 00:00:00
 
6050
Other values (5157)
198549 

Unique

Unique827 ?
Unique (%)0.1%

Sample

1st row1992-02-10 00:00:00
2nd row1992-02-12 00:00:00
3rd row1997-04-21 00:00:00
4th row1992-02-12 00:00:00
5th row1992-02-12 00:00:00

Common Values

ValueCountFrequency (%)
1992-02-10 00:00:00 383738
43.1%
1992-02-12 00:00:00 192264
21.6%
1995-02-07 00:00:00 11181
 
1.3%
2005-12-16 00:00:00 6291
 
0.7%
2003-11-18 00:00:00 6050
 
0.7%
1993-03-01 00:00:00 3204
 
0.4%
2005-04-15 00:00:00 2343
 
0.3%
2000-05-10 00:00:00 2327
 
0.3%
2004-04-14 00:00:00 2290
 
0.3%
2005-08-23 00:00:00 2078
 
0.2%
Other values (5152) 186307
20.9%
(Missing) 93148
 
10.5%

EINGEZOGENAM_HH_JAHR
Real number (ℝ)

Distinct37
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean2003.729061
Minimum1900
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:14.693733image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1994
Q11997
median2003
Q32010
95-th percentile2015
Maximum2018
Range118
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.058203613
Coefficient of variation (CV)0.003522533935
Kurtosis-1.163031496
Mean2003.729061
Median Absolute Deviation (MAD)6
Skewness0.1567668637
Sum1638493335
Variance49.81823824
MonotonicityNot monotonic
2023-02-17T12:44:14.840478image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1994 111439
 
12.5%
1997 66259
 
7.4%
2015 45926
 
5.2%
2004 45103
 
5.1%
2014 43992
 
4.9%
2001 41440
 
4.6%
2008 34959
 
3.9%
2005 34714
 
3.9%
2002 34547
 
3.9%
2012 33580
 
3.8%
Other values (27) 325763
36.6%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
1900 1
 
< 0.1%
1904 1
 
< 0.1%
1971 1
 
< 0.1%
1984 1
 
< 0.1%
1986 8
< 0.1%
ValueCountFrequency (%)
2018 565
 
0.1%
2017 208
 
< 0.1%
2016 13699
 
1.5%
2015 45926
5.2%
2014 43992
4.9%

EWDICHTE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.939172219
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:14.970534image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.718995626
Coefficient of variation (CV)0.4363849891
Kurtosis-1.257676433
Mean3.939172219
Median Absolute Deviation (MAD)2
Skewness-0.3120349462
Sum3141415
Variance2.954945961
MonotonicityNot monotonic
2023-02-17T12:44:15.440881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 201009
22.6%
5 161209
18.1%
2 139087
15.6%
4 130716
14.7%
1 84051
9.4%
3 81409
9.1%
(Missing) 93740
10.5%
ValueCountFrequency (%)
1 84051
9.4%
2 139087
15.6%
3 81409
9.1%
4 130716
14.7%
5 161209
18.1%
ValueCountFrequency (%)
6 201009
22.6%
5 161209
18.1%
4 130716
14.7%
3 81409
9.1%
2 139087
15.6%

EXTSEL992
Real number (ℝ)

Distinct56
Distinct (%)< 0.1%
Missing654153
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean33.33839236
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:15.597420image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q123
median34
Q343
95-th percentile56
Maximum56
Range55
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.53740758
Coefficient of variation (CV)0.4360560469
Kurtosis-0.614888915
Mean33.33839236
Median Absolute Deviation (MAD)11
Skewness-0.1370241946
Sum7903466
Variance211.3362192
MonotonicityNot monotonic
2023-02-17T12:44:15.752003image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 19722
 
2.2%
31 14987
 
1.7%
27 13269
 
1.5%
38 12856
 
1.4%
23 12742
 
1.4%
36 12059
 
1.4%
35 11308
 
1.3%
55 9812
 
1.1%
34 8583
 
1.0%
50 6435
 
0.7%
Other values (46) 115295
 
12.9%
(Missing) 654153
73.4%
ValueCountFrequency (%)
1 1526
0.2%
2 2701
0.3%
3 2783
0.3%
4 1468
0.2%
5 1437
0.2%
ValueCountFrequency (%)
56 19722
2.2%
55 9812
1.1%
54 4857
 
0.5%
53 5686
 
0.6%
52 1415
 
0.2%

FINANZ_ANLEGER
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.033328434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:15.881683image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.529602515
Coefficient of variation (CV)0.5042653801
Kurtosis-1.478883143
Mean3.033328434
Median Absolute Deviation (MAD)1
Skewness-0.01148797371
Sum2703366
Variance2.339683855
MonotonicityNot monotonic
2023-02-17T12:44:15.991913image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 234508
26.3%
1 210812
23.7%
2 161286
18.1%
4 143597
16.1%
3 141018
15.8%
ValueCountFrequency (%)
1 210812
23.7%
2 161286
18.1%
3 141018
15.8%
4 143597
16.1%
5 234508
26.3%
ValueCountFrequency (%)
5 234508
26.3%
4 143597
16.1%
3 141018
15.8%
2 161286
18.1%
1 210812
23.7%

FINANZ_HAUSBAUER
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.075120537
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:16.114378image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.353248108
Coefficient of variation (CV)0.4400634355
Kurtosis-1.152085532
Mean3.075120537
Median Absolute Deviation (MAD)1
Skewness-0.02551465987
Sum2740612
Variance1.831280442
MonotonicityNot monotonic
2023-02-17T12:44:16.222013image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 235184
26.4%
5 183918
20.6%
2 171847
19.3%
4 157168
17.6%
1 143104
16.1%
ValueCountFrequency (%)
1 143104
16.1%
2 171847
19.3%
3 235184
26.4%
4 157168
17.6%
5 183918
20.6%
ValueCountFrequency (%)
5 183918
20.6%
4 157168
17.6%
3 235184
26.4%
2 171847
19.3%
1 143104
16.1%

FINANZ_MINIMALIST
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.074528091
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:16.351744image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.321054925
Coefficient of variation (CV)0.4296772987
Kurtosis-1.068995334
Mean3.074528091
Median Absolute Deviation (MAD)1
Skewness-0.05160997378
Sum2740084
Variance1.745186115
MonotonicityNot monotonic
2023-02-17T12:44:16.458358image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 256276
28.8%
5 168863
18.9%
4 167182
18.8%
2 159313
17.9%
1 139587
15.7%
ValueCountFrequency (%)
1 139587
15.7%
2 159313
17.9%
3 256276
28.8%
4 167182
18.8%
5 168863
18.9%
ValueCountFrequency (%)
5 168863
18.9%
4 167182
18.8%
3 256276
28.8%
2 159313
17.9%
1 139587
15.7%

FINANZ_SPARER
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.821038777
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:16.592947image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.464748804
Coefficient of variation (CV)0.519223208
Kurtosis-1.41317134
Mean2.821038777
Median Absolute Deviation (MAD)1
Skewness0.08897381631
Sum2514169
Variance2.145489059
MonotonicityNot monotonic
2023-02-17T12:44:16.700209image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 250213
28.1%
4 201223
22.6%
2 153051
17.2%
5 146380
16.4%
3 140354
15.7%
ValueCountFrequency (%)
1 250213
28.1%
2 153051
17.2%
3 140354
15.7%
4 201223
22.6%
5 146380
16.4%
ValueCountFrequency (%)
5 146380
16.4%
4 201223
22.6%
3 140354
15.7%
2 153051
17.2%
1 250213
28.1%

FINANZ_UNAUFFAELLIGER
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.874167014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:16.828846image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.486731128
Coefficient of variation (CV)0.5172737428
Kurtosis-1.367426978
Mean2.874167014
Median Absolute Deviation (MAD)1
Skewness0.1751603062
Sum2561518
Variance2.210369448
MonotonicityNot monotonic
2023-02-17T12:44:16.940109image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 220597
24.8%
5 200551
22.5%
2 185749
20.8%
3 170628
19.1%
4 113696
12.8%
ValueCountFrequency (%)
1 220597
24.8%
2 185749
20.8%
3 170628
19.1%
4 113696
12.8%
5 200551
22.5%
ValueCountFrequency (%)
5 200551
22.5%
4 113696
12.8%
3 170628
19.1%
2 185749
20.8%
1 220597
24.8%

FINANZ_VORSORGER
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.401105899
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:17.062188image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.322134154
Coefficient of variation (CV)0.3887365445
Kurtosis-0.9682562328
Mean3.401105899
Median Absolute Deviation (MAD)1
Skewness-0.3628209658
Sum3031137
Variance1.748038722
MonotonicityNot monotonic
2023-02-17T12:44:17.171129image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 242262
27.2%
3 229842
25.8%
4 198218
22.2%
2 116530
13.1%
1 104369
11.7%
ValueCountFrequency (%)
1 104369
11.7%
2 116530
13.1%
3 229842
25.8%
4 198218
22.2%
5 242262
27.2%
ValueCountFrequency (%)
5 242262
27.2%
4 198218
22.2%
3 229842
25.8%
2 116530
13.1%
1 104369
11.7%

FINANZTYP
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.790586173
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:17.290399image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.987875961
Coefficient of variation (CV)0.5244244216
Kurtosis-1.533410771
Mean3.790586173
Median Absolute Deviation (MAD)2
Skewness-0.2397764052
Sum3378250
Variance3.951650838
MonotonicityNot monotonic
2023-02-17T12:44:17.402095image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 290367
32.6%
1 199572
22.4%
4 130625
14.7%
2 110867
 
12.4%
5 106436
 
11.9%
3 53354
 
6.0%
ValueCountFrequency (%)
1 199572
22.4%
2 110867
12.4%
3 53354
 
6.0%
4 130625
14.7%
5 106436
11.9%
ValueCountFrequency (%)
6 290367
32.6%
5 106436
 
11.9%
4 130625
14.7%
3 53354
 
6.0%
2 110867
 
12.4%

FIRMENDICHTE
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.456028699
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:17.522712image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.153415428
Coefficient of variation (CV)0.3337401186
Kurtosis-0.7473515938
Mean3.456028699
Median Absolute Deviation (MAD)1
Skewness-0.3887982899
Sum2758139
Variance1.330367149
MonotonicityNot monotonic
2023-02-17T12:44:17.629444image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 273637
30.7%
3 181608
20.4%
5 159217
17.9%
2 139078
15.6%
1 44526
 
5.0%
(Missing) 93155
 
10.5%
ValueCountFrequency (%)
1 44526
 
5.0%
2 139078
15.6%
3 181608
20.4%
4 273637
30.7%
5 159217
17.9%
ValueCountFrequency (%)
5 159217
17.9%
4 273637
30.7%
3 181608
20.4%
2 139078
15.6%
1 44526
 
5.0%

GEBAEUDETYP
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.798641227
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:17.748201image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.65671341
Coefficient of variation (CV)0.949286884
Kurtosis-0.06997518803
Mean2.798641227
Median Absolute Deviation (MAD)0
Skewness1.256130407
Sum2233520
Variance7.058126142
MonotonicityNot monotonic
2023-02-17T12:44:17.851975image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 460465
51.7%
3 178668
 
20.0%
8 152476
 
17.1%
2 4935
 
0.6%
4 900
 
0.1%
6 628
 
0.1%
5 1
 
< 0.1%
(Missing) 93148
 
10.5%
ValueCountFrequency (%)
1 460465
51.7%
2 4935
 
0.6%
3 178668
 
20.0%
4 900
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
8 152476
17.1%
6 628
 
0.1%
5 1
 
< 0.1%
4 900
 
0.1%
3 178668
20.0%

GEBAEUDETYP_RASTER
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.738306105
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:17.964476image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9231926007
Coefficient of variation (CV)0.2469547904
Kurtosis0.1816332307
Mean3.738306105
Median Absolute Deviation (MAD)1
Skewness-0.5937383027
Sum2983415
Variance0.852284578
MonotonicityNot monotonic
2023-02-17T12:44:18.078092image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 359620
40.4%
3 205330
23.0%
5 159217
17.9%
2 58961
 
6.6%
1 14938
 
1.7%
(Missing) 93155
 
10.5%
ValueCountFrequency (%)
1 14938
 
1.7%
2 58961
 
6.6%
3 205330
23.0%
4 359620
40.4%
5 159217
17.9%
ValueCountFrequency (%)
5 159217
17.9%
4 359620
40.4%
3 205330
23.0%
2 58961
 
6.6%
1 14938
 
1.7%

GEBURTSJAHR
Real number (ℝ)

Distinct117
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1101.178533
Minimum0
Maximum2017
Zeros392318
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:18.234720image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1943
Q31970
95-th percentile1990
Maximum2017
Range2017
Interquartile range (IQR)1970

Descriptive statistics

Standard deviation976.5835513
Coefficient of variation (CV)0.88685306
Kurtosis-1.941480575
Mean1101.178533
Median Absolute Deviation (MAD)46
Skewness-0.240357039
Sum981393433
Variance953715.4326
MonotonicityNot monotonic
2023-02-17T12:44:18.392555image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 392318
44.0%
1967 11183
 
1.3%
1965 11090
 
1.2%
1966 10933
 
1.2%
1970 10883
 
1.2%
1964 10799
 
1.2%
1968 10792
 
1.2%
1963 10513
 
1.2%
1969 10360
 
1.2%
1980 10275
 
1.2%
Other values (107) 402075
45.1%
ValueCountFrequency (%)
0 392318
44.0%
1900 4
 
< 0.1%
1902 1
 
< 0.1%
1904 5
 
< 0.1%
1905 8
 
< 0.1%
ValueCountFrequency (%)
2017 593
0.1%
2016 167
 
< 0.1%
2015 257
< 0.1%
2014 124
 
< 0.1%
2013 380
< 0.1%

GEMEINDETYP
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean24.18674798
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:18.536210image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median22
Q330
95-th percentile50
Maximum50
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.03785174
Coefficient of variation (CV)0.4977044351
Kurtosis-0.7288214936
Mean24.18674798
Median Absolute Deviation (MAD)10
Skewness0.6001933634
Sum19202996
Variance144.9098745
MonotonicityNot monotonic
2023-02-17T12:44:18.643477image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
22 151307
17.0%
11 150715
16.9%
40 125571
14.1%
30 122406
13.7%
12 120145
13.5%
21 72777
8.2%
50 51026
 
5.7%
(Missing) 97274
10.9%
ValueCountFrequency (%)
11 150715
16.9%
12 120145
13.5%
21 72777
8.2%
22 151307
17.0%
30 122406
13.7%
ValueCountFrequency (%)
50 51026
 
5.7%
40 125571
14.1%
30 122406
13.7%
22 151307
17.0%
21 72777
8.2%

GFK_URLAUBERTYP
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean7.350304107
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:18.769011image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.525723215
Coefficient of variation (CV)0.4796703869
Kurtosis-1.23285991
Mean7.350304107
Median Absolute Deviation (MAD)3
Skewness-0.2416175217
Sum6515067
Variance12.43072419
MonotonicityNot monotonic
2023-02-17T12:44:18.881270image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
12 138545
15.5%
5 120126
13.5%
10 109127
12.2%
8 88042
9.9%
11 79740
8.9%
4 63770
7.2%
9 60614
6.8%
3 56007
6.3%
1 53600
 
6.0%
2 46702
 
5.2%
Other values (2) 70094
7.9%
ValueCountFrequency (%)
1 53600
6.0%
2 46702
 
5.2%
3 56007
6.3%
4 63770
7.2%
5 120126
13.5%
ValueCountFrequency (%)
12 138545
15.5%
11 79740
8.9%
10 109127
12.2%
9 60614
6.8%
8 88042
9.9%

GREEN_AVANTGARDE
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1966122881
Minimum0
Maximum1
Zeros715996
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:19.003401image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3974368799
Coefficient of variation (CV)2.021424417
Kurtosis0.3308896997
Mean0.1966122881
Median Absolute Deviation (MAD)0
Skewness1.526724912
Sum175225
Variance0.1579560735
MonotonicityNot monotonic
2023-02-17T12:44:19.106359image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 715996
80.3%
1 175225
 
19.7%
ValueCountFrequency (%)
0 715996
80.3%
1 175225
 
19.7%
ValueCountFrequency (%)
1 175225
 
19.7%
0 715996
80.3%

HEALTH_TYP
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing111196
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean2.190128522
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:19.222431image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7552129105
Coefficient of variation (CV)0.3448258415
Kurtosis-1.187722624
Mean2.190128522
Median Absolute Deviation (MAD)1
Skewness-0.3298144004
Sum1708355
Variance0.5703465401
MonotonicityNot monotonic
2023-02-17T12:44:19.339878image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 310693
34.9%
2 306944
34.4%
1 162388
18.2%
(Missing) 111196
 
12.5%
ValueCountFrequency (%)
1 162388
18.2%
2 306944
34.4%
3 310693
34.9%
ValueCountFrequency (%)
3 310693
34.9%
2 306944
34.4%
1 162388
18.2%

HH_DELTA_FLAG
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing107602
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean0.09274532649
Minimum0
Maximum1
Zeros710942
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:19.465871image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.290075401
Coefficient of variation (CV)3.127655182
Kurtosis5.884486001
Mean0.09274532649
Median Absolute Deviation (MAD)0
Skewness2.807930017
Sum72677
Variance0.08414373828
MonotonicityNot monotonic
2023-02-17T12:44:19.573005image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 710942
79.8%
1 72677
 
8.2%
(Missing) 107602
 
12.1%
ValueCountFrequency (%)
0 710942
79.8%
1 72677
 
8.2%
ValueCountFrequency (%)
1 72677
 
8.2%
0 710942
79.8%

HH_EINKOMMEN_SCORE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing18348
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.207243207
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:19.682873image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.624057021
Coefficient of variation (CV)0.3860145327
Kurtosis-1.049195412
Mean4.207243207
Median Absolute Deviation (MAD)1
Skewness-0.4985505452
Sum3672389
Variance2.637561207
MonotonicityNot monotonic
2023-02-17T12:44:19.798280image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 252775
28.4%
5 201482
22.6%
2 140817
15.8%
4 139762
15.7%
3 84805
 
9.5%
1 53232
 
6.0%
(Missing) 18348
 
2.1%
ValueCountFrequency (%)
1 53232
 
6.0%
2 140817
15.8%
3 84805
9.5%
4 139762
15.7%
5 201482
22.6%
ValueCountFrequency (%)
6 252775
28.4%
5 201482
22.6%
4 139762
15.7%
3 84805
 
9.5%
2 140817
15.8%

INNENSTADT
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing93740
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.549491461
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:19.912825image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.028919204
Coefficient of variation (CV)0.4459661528
Kurtosis-0.9225382692
Mean4.549491461
Median Absolute Deviation (MAD)2
Skewness0.03835712867
Sum3628133
Variance4.116513137
MonotonicityNot monotonic
2023-02-17T12:44:20.028440image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 147626
16.6%
4 134067
15.0%
6 111679
12.5%
2 109048
12.2%
3 92818
10.4%
8 82870
9.3%
7 67463
7.6%
1 51910
 
5.8%
(Missing) 93740
10.5%
ValueCountFrequency (%)
1 51910
 
5.8%
2 109048
12.2%
3 92818
10.4%
4 134067
15.0%
5 147626
16.6%
ValueCountFrequency (%)
8 82870
9.3%
7 67463
7.6%
6 111679
12.5%
5 147626
16.6%
4 134067
15.0%

KBA05_ALTER1
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.933454087
Minimum0
Maximum4
Zeros102789
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:20.152719image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.191587861
Coefficient of variation (CV)0.6163000553
Kurtosis-0.8571557873
Mean1.933454087
Median Absolute Deviation (MAD)1
Skewness0.01257434338
Sum1436771
Variance1.41988163
MonotonicityNot monotonic
2023-02-17T12:44:20.257838image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 228625
25.7%
1 167046
18.7%
3 166129
18.6%
0 102789
11.5%
4 78522
 
8.8%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 102789
11.5%
1 167046
18.7%
2 228625
25.7%
3 166129
18.6%
4 78522
 
8.8%
ValueCountFrequency (%)
4 78522
 
8.8%
3 166129
18.6%
2 228625
25.7%
1 167046
18.7%
0 102789
11.5%

KBA05_ALTER2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean3.033004491
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:20.378813image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.064463224
Coefficient of variation (CV)0.3509599895
Kurtosis-0.5009038758
Mean3.033004491
Median Absolute Deviation (MAD)1
Skewness0.03608412091
Sum2253859
Variance1.133081955
MonotonicityNot monotonic
2023-02-17T12:44:20.486681image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 288107
32.3%
2 165806
18.6%
4 159928
17.9%
5 72236
 
8.1%
1 57034
 
6.4%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 57034
 
6.4%
2 165806
18.6%
3 288107
32.3%
4 159928
17.9%
5 72236
 
8.1%
ValueCountFrequency (%)
5 72236
 
8.1%
4 159928
17.9%
3 288107
32.3%
2 165806
18.6%
1 57034
 
6.4%

KBA05_ALTER3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.995043809
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:20.613954image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.074456735
Coefficient of variation (CV)0.3587449145
Kurtosis-0.4890559469
Mean2.995043809
Median Absolute Deviation (MAD)1
Skewness0.006132464345
Sum2225650
Variance1.154457276
MonotonicityNot monotonic
2023-02-17T12:44:20.725666image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 292436
32.8%
2 158737
17.8%
4 156194
17.5%
1 68157
 
7.6%
5 67587
 
7.6%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 68157
 
7.6%
2 158737
17.8%
3 292436
32.8%
4 156194
17.5%
5 67587
 
7.6%
ValueCountFrequency (%)
5 67587
 
7.6%
4 156194
17.5%
3 292436
32.8%
2 158737
17.8%
1 68157
 
7.6%

KBA05_ALTER4
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.798502512
Minimum0
Maximum5
Zeros50127
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:20.841416image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.243225387
Coefficient of variation (CV)0.4442466575
Kurtosis-0.01214425806
Mean2.798502512
Median Absolute Deviation (MAD)1
Skewness-0.4670448148
Sum2079598
Variance1.545609363
MonotonicityNot monotonic
2023-02-17T12:44:20.949200image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 299085
33.6%
4 144073
16.2%
2 138597
15.6%
1 56822
 
6.4%
5 54407
 
6.1%
0 50127
 
5.6%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 50127
 
5.6%
1 56822
 
6.4%
2 138597
15.6%
3 299085
33.6%
4 144073
16.2%
ValueCountFrequency (%)
5 54407
 
6.1%
4 144073
16.2%
3 299085
33.6%
2 138597
15.6%
1 56822
 
6.4%

KBA05_ANHANG
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing147201
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean0.9593868444
Minimum0
Maximum3
Zeros266145
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:21.055122image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9446217585
Coefficient of variation (CV)0.9846098724
Kurtosis-0.08886230234
Mean0.9593868444
Median Absolute Deviation (MAD)1
Skewness0.8608624171
Sum713803
Variance0.8923102666
MonotonicityNot monotonic
2023-02-17T12:44:21.152379image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 323472
36.3%
0 266145
29.9%
3 81525
 
9.1%
2 72878
 
8.2%
(Missing) 147201
16.5%
ValueCountFrequency (%)
0 266145
29.9%
1 323472
36.3%
2 72878
 
8.2%
3 81525
 
9.1%
ValueCountFrequency (%)
3 81525
 
9.1%
2 72878
 
8.2%
1 323472
36.3%
0 266145
29.9%

KBA05_ANTG1
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.494276927
Minimum0
Maximum4
Zeros261049
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:21.268101image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.40396086
Coefficient of variation (CV)0.9395586821
Kurtosis-1.126245837
Mean1.494276927
Median Absolute Deviation (MAD)1
Skewness0.4585563122
Sum1132508
Variance1.971106097
MonotonicityNot monotonic
2023-02-17T12:44:21.380453image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 261049
29.3%
1 161224
18.1%
2 126725
14.2%
3 117762
13.2%
4 91137
 
10.2%
(Missing) 133324
15.0%
ValueCountFrequency (%)
0 261049
29.3%
1 161224
18.1%
2 126725
14.2%
3 117762
13.2%
4 91137
 
10.2%
ValueCountFrequency (%)
4 91137
 
10.2%
3 117762
13.2%
2 126725
14.2%
1 161224
18.1%
0 261049
29.3%

KBA05_ANTG2
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean1.265583582
Minimum0
Maximum4
Zeros292538
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:21.506516image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.245177641
Coefficient of variation (CV)0.9838762598
Kurtosis-1.011560337
Mean1.265583582
Median Absolute Deviation (MAD)1
Skewness0.5130422504
Sum959182
Variance1.550467358
MonotonicityNot monotonic
2023-02-17T12:44:21.615624image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 292538
32.8%
1 163751
18.4%
2 138273
15.5%
3 134455
15.1%
4 28880
 
3.2%
(Missing) 133324
15.0%
ValueCountFrequency (%)
0 292538
32.8%
1 163751
18.4%
2 138273
15.5%
3 134455
15.1%
4 28880
 
3.2%
ValueCountFrequency (%)
4 28880
 
3.2%
3 134455
15.1%
2 138273
15.5%
1 163751
18.4%
0 292538
32.8%

KBA05_ANTG3
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.6245254962
Minimum0
Maximum3
Zeros511545
Zeros (%)57.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:21.737026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.013443059
Coefficient of variation (CV)1.622740889
Kurtosis0.3810990117
Mean0.6245254962
Median Absolute Deviation (MAD)0
Skewness1.359646839
Sum473326
Variance1.027066834
MonotonicityNot monotonic
2023-02-17T12:44:21.831815image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 511545
57.4%
1 92748
 
10.4%
2 80234
 
9.0%
3 73370
 
8.2%
(Missing) 133324
 
15.0%
ValueCountFrequency (%)
0 511545
57.4%
1 92748
 
10.4%
2 80234
 
9.0%
3 73370
 
8.2%
ValueCountFrequency (%)
3 73370
 
8.2%
2 80234
 
9.0%
1 92748
 
10.4%
0 511545
57.4%

KBA05_ANTG4
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean0.3059267948
Minimum0
Maximum2
Zeros600171
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:21.945016image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6387249587
Coefficient of variation (CV)2.087835945
Kurtosis2.035951021
Mean0.3059267948
Median Absolute Deviation (MAD)0
Skewness1.879539391
Sum231861
Variance0.4079695729
MonotonicityNot monotonic
2023-02-17T12:44:22.059142image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 600171
67.3%
1 83591
 
9.4%
2 74135
 
8.3%
(Missing) 133324
 
15.0%
ValueCountFrequency (%)
0 600171
67.3%
1 83591
 
9.4%
2 74135
 
8.3%
ValueCountFrequency (%)
2 74135
 
8.3%
1 83591
 
9.4%
0 600171
67.3%

KBA05_AUTOQUOT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148115
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean3.092708174
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:22.186693image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.148331746
Coefficient of variation (CV)0.3713029751
Kurtosis-0.6635960133
Mean3.092708174
Median Absolute Deviation (MAD)1
Skewness-0.1881513373
Sum2298210
Variance1.318665799
MonotonicityNot monotonic
2023-02-17T12:44:22.307167image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 258013
29.0%
4 194706
21.8%
2 123320
13.8%
1 84157
 
9.4%
5 82910
 
9.3%
(Missing) 148115
16.6%
ValueCountFrequency (%)
1 84157
 
9.4%
2 123320
13.8%
3 258013
29.0%
4 194706
21.8%
5 82910
 
9.3%
ValueCountFrequency (%)
5 82910
 
9.3%
4 194706
21.8%
3 258013
29.0%
2 123320
13.8%
1 84157
 
9.4%

KBA05_BAUMAX
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing476524
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean2.539533684
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:22.431724image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.693151058
Coefficient of variation (CV)0.6667173069
Kurtosis-1.54129261
Mean2.539533684
Median Absolute Deviation (MAD)0
Skewness0.4147439586
Sum1053137
Variance2.866760507
MonotonicityNot monotonic
2023-02-17T12:44:22.539770image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 208417
23.4%
5 98923
 
11.1%
3 59955
 
6.7%
4 37718
 
4.2%
2 9684
 
1.1%
(Missing) 476524
53.5%
ValueCountFrequency (%)
1 208417
23.4%
2 9684
 
1.1%
3 59955
 
6.7%
4 37718
 
4.2%
5 98923
11.1%
ValueCountFrequency (%)
5 98923
11.1%
4 37718
 
4.2%
3 59955
 
6.7%
2 9684
 
1.1%
1 208417
23.4%

KBA05_CCM1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.964709175
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:22.660100image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.071209725
Coefficient of variation (CV)0.3613203392
Kurtosis-0.4892769955
Mean2.964709175
Median Absolute Deviation (MAD)1
Skewness0.05667463894
Sum2203108
Variance1.147490275
MonotonicityNot monotonic
2023-02-17T12:44:22.767808image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 290001
32.5%
2 170860
19.2%
4 148741
16.7%
1 67781
 
7.6%
5 65728
 
7.4%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 67781
 
7.6%
2 170860
19.2%
3 290001
32.5%
4 148741
16.7%
5 65728
 
7.4%
ValueCountFrequency (%)
5 65728
 
7.4%
4 148741
16.7%
3 290001
32.5%
2 170860
19.2%
1 67781
 
7.6%

KBA05_CCM2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.998272129
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:22.895022image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040575647
Coefficient of variation (CV)0.3470584397
Kurtosis-0.4118769661
Mean2.998272129
Median Absolute Deviation (MAD)1
Skewness-0.02097383968
Sum2228049
Variance1.082797677
MonotonicityNot monotonic
2023-02-17T12:44:23.002661image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 301075
33.8%
4 163350
18.3%
2 157818
17.7%
1 62138
 
7.0%
5 58730
 
6.6%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 62138
 
7.0%
2 157818
17.7%
3 301075
33.8%
4 163350
18.3%
5 58730
 
6.6%
ValueCountFrequency (%)
5 58730
 
6.6%
4 163350
18.3%
3 301075
33.8%
2 157818
17.7%
1 62138
 
7.0%

KBA05_CCM3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean3.027968904
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:23.137068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.080107893
Coefficient of variation (CV)0.3567103652
Kurtosis-0.5204365528
Mean3.027968904
Median Absolute Deviation (MAD)1
Skewness-0.02835599885
Sum2250117
Variance1.166633061
MonotonicityNot monotonic
2023-02-17T12:44:23.248513image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 285942
32.1%
4 166348
18.7%
2 154038
17.3%
5 70510
 
7.9%
1 66273
 
7.4%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 66273
 
7.4%
2 154038
17.3%
3 285942
32.1%
4 166348
18.7%
5 70510
 
7.9%
ValueCountFrequency (%)
5 70510
 
7.9%
4 166348
18.7%
3 285942
32.1%
2 154038
17.3%
1 66273
 
7.4%

KBA05_CCM4
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.206615162
Minimum0
Maximum4
Zeros274064
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:23.372006image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.222742246
Coefficient of variation (CV)1.013365557
Kurtosis-0.3958495092
Mean1.206615162
Median Absolute Deviation (MAD)1
Skewness0.7842372577
Sum896649
Variance1.495098601
MonotonicityNot monotonic
2023-02-17T12:44:23.507842image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 274064
30.8%
1 214682
24.1%
2 128431
14.4%
3 78631
 
8.8%
4 47303
 
5.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 274064
30.8%
1 214682
24.1%
2 128431
14.4%
3 78631
 
8.8%
4 47303
 
5.3%
ValueCountFrequency (%)
4 47303
 
5.3%
3 78631
 
8.8%
2 128431
14.4%
1 214682
24.1%
0 274064
30.8%

KBA05_DIESEL
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.011529906
Minimum0
Maximum4
Zeros64600
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:23.654821image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.060983943
Coefficient of variation (CV)0.5274512396
Kurtosis-0.4626463472
Mean2.011529906
Median Absolute Deviation (MAD)1
Skewness-0.0217930266
Sum1494790
Variance1.125686926
MonotonicityNot monotonic
2023-02-17T12:44:23.768543image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 294616
33.1%
3 163675
18.4%
1 155449
17.4%
4 64771
 
7.3%
0 64600
 
7.2%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 64600
 
7.2%
1 155449
17.4%
2 294616
33.1%
3 163675
18.4%
4 64771
 
7.3%
ValueCountFrequency (%)
4 64771
 
7.3%
3 163675
18.4%
2 294616
33.1%
1 155449
17.4%
0 64600
 
7.2%

KBA05_FRAU
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.992827451
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:23.894816image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.074328367
Coefficient of variation (CV)0.3589676935
Kurtosis-0.4449269298
Mean2.992827451
Median Absolute Deviation (MAD)1
Skewness0.02024199314
Sum2224003
Variance1.154181441
MonotonicityNot monotonic
2023-02-17T12:44:24.006079image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 303220
34.0%
2 153893
17.3%
4 146721
16.5%
5 70099
 
7.9%
1 69178
 
7.8%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 69178
 
7.8%
2 153893
17.3%
3 303220
34.0%
4 146721
16.5%
5 70099
 
7.9%
ValueCountFrequency (%)
5 70099
 
7.9%
4 146721
16.5%
3 303220
34.0%
2 153893
17.3%
1 69178
 
7.8%

KBA05_GBZ
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean3.158579596
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:24.129228image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3295374
Coefficient of variation (CV)0.4209288891
Kurtosis-1.106488204
Mean3.158579596
Median Absolute Deviation (MAD)1
Skewness-0.1178680345
Sum2393878
Variance1.767669699
MonotonicityNot monotonic
2023-02-17T12:44:24.239851image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 197833
22.2%
5 158971
17.8%
4 155301
17.4%
2 138528
15.5%
1 107264
12.0%
(Missing) 133324
15.0%
ValueCountFrequency (%)
1 107264
12.0%
2 138528
15.5%
3 197833
22.2%
4 155301
17.4%
5 158971
17.8%
ValueCountFrequency (%)
5 158971
17.8%
4 155301
17.4%
3 197833
22.2%
2 138528
15.5%
1 107264
12.0%

KBA05_HERST1
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.346543114
Minimum0
Maximum5
Zeros75567
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:24.360910image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.365108976
Coefficient of variation (CV)0.5817532045
Kurtosis-0.571332271
Mean2.346543114
Median Absolute Deviation (MAD)1
Skewness0.1379161763
Sum1743742
Variance1.863522517
MonotonicityNot monotonic
2023-02-17T12:44:24.466106image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 225687
25.3%
3 177138
19.9%
1 118781
13.3%
4 87517
 
9.8%
0 75567
 
8.5%
5 58421
 
6.6%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 75567
 
8.5%
1 118781
13.3%
2 225687
25.3%
3 177138
19.9%
4 87517
 
9.8%
ValueCountFrequency (%)
5 58421
 
6.6%
4 87517
 
9.8%
3 177138
19.9%
2 225687
25.3%
1 118781
13.3%

KBA05_HERST2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.985827151
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:24.588683image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.030745306
Coefficient of variation (CV)0.345212651
Kurtosis-0.3942587454
Mean2.985827151
Median Absolute Deviation (MAD)1
Skewness0.06668745466
Sum2218801
Variance1.062435886
MonotonicityNot monotonic
2023-02-17T12:44:24.709531image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 301932
33.9%
2 172981
19.4%
4 152039
17.1%
5 60682
 
6.8%
1 55477
 
6.2%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 55477
 
6.2%
2 172981
19.4%
3 301932
33.9%
4 152039
17.1%
5 60682
 
6.8%
ValueCountFrequency (%)
5 60682
 
6.8%
4 152039
17.1%
3 301932
33.9%
2 172981
19.4%
1 55477
 
6.2%

KBA05_HERST3
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.917156387
Minimum0
Maximum5
Zeros16789
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:24.826931image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.12310689
Coefficient of variation (CV)0.3850005762
Kurtosis-0.04755340841
Mean2.917156387
Median Absolute Deviation (MAD)1
Skewness-0.216704699
Sum2167771
Variance1.261369086
MonotonicityNot monotonic
2023-02-17T12:44:24.937211image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 298419
33.5%
2 159475
17.9%
4 147284
16.5%
5 60821
 
6.8%
1 60323
 
6.8%
0 16789
 
1.9%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 16789
 
1.9%
1 60323
 
6.8%
2 159475
17.9%
3 298419
33.5%
4 147284
16.5%
ValueCountFrequency (%)
5 60821
 
6.8%
4 147284
16.5%
3 298419
33.5%
2 159475
17.9%
1 60323
 
6.8%

KBA05_HERST4
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.834752816
Minimum0
Maximum5
Zeros30739
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:25.047140image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.242211484
Coefficient of variation (CV)0.4382080428
Kurtosis-0.3249686738
Mean2.834752816
Median Absolute Deviation (MAD)1
Skewness-0.2213658882
Sum2106536
Variance1.54308937
MonotonicityNot monotonic
2023-02-17T12:44:25.180624image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 259533
29.1%
2 164362
18.4%
4 142648
16.0%
1 75131
 
8.4%
5 70698
 
7.9%
0 30739
 
3.4%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 30739
 
3.4%
1 75131
 
8.4%
2 164362
18.4%
3 259533
29.1%
4 142648
16.0%
ValueCountFrequency (%)
5 70698
 
7.9%
4 142648
16.0%
3 259533
29.1%
2 164362
18.4%
1 75131
 
8.4%

KBA05_HERST5
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.802682237
Minimum0
Maximum5
Zeros47295
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:25.289777image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.292059223
Coefficient of variation (CV)0.4610081036
Kurtosis-0.3356831249
Mean2.802682237
Median Absolute Deviation (MAD)1
Skewness-0.3373306139
Sum2082704
Variance1.669417036
MonotonicityNot monotonic
2023-02-17T12:44:25.401415image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 242170
27.2%
2 164321
18.4%
4 159261
17.9%
5 65111
 
7.3%
1 64953
 
7.3%
0 47295
 
5.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 47295
 
5.3%
1 64953
 
7.3%
2 164321
18.4%
3 242170
27.2%
4 159261
17.9%
ValueCountFrequency (%)
5 65111
 
7.3%
4 159261
17.9%
3 242170
27.2%
2 164321
18.4%
1 64953
 
7.3%

KBA05_HERSTTEMP
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing110037
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean2.703279893
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:25.507649image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.197434818
Coefficient of variation (CV)0.4429562847
Kurtosis-0.780338014
Mean2.703279893
Median Absolute Deviation (MAD)1
Skewness0.1515704332
Sum2111759
Variance1.433850143
MonotonicityNot monotonic
2023-02-17T12:44:25.616236image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 275428
30.9%
1 162386
18.2%
2 157856
17.7%
4 120193
13.5%
5 65321
 
7.3%
(Missing) 110037
 
12.3%
ValueCountFrequency (%)
1 162386
18.2%
2 157856
17.7%
3 275428
30.9%
4 120193
13.5%
5 65321
 
7.3%
ValueCountFrequency (%)
5 65321
 
7.3%
4 120193
13.5%
3 275428
30.9%
2 157856
17.7%
1 162386
18.2%

KBA05_KRSAQUOT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.980363633
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:25.741422image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.132373498
Coefficient of variation (CV)0.3799447442
Kurtosis-0.6045176811
Mean2.980363633
Median Absolute Deviation (MAD)1
Skewness0.01941446823
Sum2214741
Variance1.28226974
MonotonicityNot monotonic
2023-02-17T12:44:25.855916image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 283526
31.8%
2 151394
17.0%
4 143668
16.1%
1 83978
 
9.4%
5 80545
 
9.0%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 83978
 
9.4%
2 151394
17.0%
3 283526
31.8%
4 143668
16.1%
5 80545
 
9.0%
ValueCountFrequency (%)
5 80545
 
9.0%
4 143668
16.1%
3 283526
31.8%
2 151394
17.0%
1 83978
 
9.4%

KBA05_KRSHERST1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.931025109
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:25.974617image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.013204675
Coefficient of variation (CV)0.3456827004
Kurtosis-0.4053541989
Mean2.931025109
Median Absolute Deviation (MAD)1
Skewness-0.01031474352
Sum2178077
Variance1.026583713
MonotonicityNot monotonic
2023-02-17T12:44:26.095242image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 299103
33.6%
2 174764
19.6%
4 161780
18.2%
1 63300
 
7.1%
5 44164
 
5.0%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 63300
 
7.1%
2 174764
19.6%
3 299103
33.6%
4 161780
18.2%
5 44164
 
5.0%
ValueCountFrequency (%)
5 44164
 
5.0%
4 161780
18.2%
3 299103
33.6%
2 174764
19.6%
1 63300
 
7.1%

KBA05_KRSHERST2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.960919701
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:26.226873image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.06471827
Coefficient of variation (CV)0.3595903898
Kurtosis-0.4554548792
Mean2.960919701
Median Absolute Deviation (MAD)1
Skewness0.005953710471
Sum2200292
Variance1.133624994
MonotonicityNot monotonic
2023-02-17T12:44:26.781284image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 297896
33.4%
2 160002
18.0%
4 152437
17.1%
1 71757
 
8.1%
5 61019
 
6.8%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 71757
 
8.1%
2 160002
18.0%
3 297896
33.4%
4 152437
17.1%
5 61019
 
6.8%
ValueCountFrequency (%)
5 61019
 
6.8%
4 152437
17.1%
3 297896
33.4%
2 160002
18.0%
1 71757
 
8.1%

KBA05_KRSHERST3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean3.037477577
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:26.907212image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.095136885
Coefficient of variation (CV)0.3605415536
Kurtosis-0.5209044971
Mean3.037477577
Median Absolute Deviation (MAD)1
Skewness0.03261566901
Sum2257183
Variance1.199324796
MonotonicityNot monotonic
2023-02-17T12:44:27.016129image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 293298
32.9%
2 154609
17.3%
4 147717
16.6%
5 82429
 
9.2%
1 65058
 
7.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 65058
 
7.3%
2 154609
17.3%
3 293298
32.9%
4 147717
16.6%
5 82429
 
9.2%
ValueCountFrequency (%)
5 82429
 
9.2%
4 147717
16.6%
3 293298
32.9%
2 154609
17.3%
1 65058
 
7.3%

KBA05_KRSKLEIN
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.991174939
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:27.142901image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6424053993
Coefficient of variation (CV)0.3226262981
Kurtosis-0.5770745632
Mean1.991174939
Median Absolute Deviation (MAD)0
Skewness0.00792695878
Sum1479664
Variance0.4126846971
MonotonicityNot monotonic
2023-02-17T12:44:27.249803image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 436383
49.0%
1 156643
 
17.6%
3 150085
 
16.8%
(Missing) 148110
 
16.6%
ValueCountFrequency (%)
1 156643
 
17.6%
2 436383
49.0%
3 150085
 
16.8%
ValueCountFrequency (%)
3 150085
 
16.8%
2 436383
49.0%
1 156643
 
17.6%

KBA05_KRSOBER
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.965715754
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:27.374460image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6113599634
Coefficient of variation (CV)0.3110113769
Kurtosis-0.3308274488
Mean1.965715754
Median Absolute Deviation (MAD)0
Skewness0.01837336411
Sum1460745
Variance0.3737610048
MonotonicityNot monotonic
2023-02-17T12:44:27.479677image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 464492
52.1%
1 152048
 
17.1%
3 126571
 
14.2%
(Missing) 148110
 
16.6%
ValueCountFrequency (%)
1 152048
 
17.1%
2 464492
52.1%
3 126571
 
14.2%
ValueCountFrequency (%)
3 126571
 
14.2%
2 464492
52.1%
1 152048
 
17.1%

KBA05_KRSVAN
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.998901914
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:27.601454image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5812456351
Coefficient of variation (CV)0.2907824697
Kurtosis-0.04007428085
Mean1.998901914
Median Absolute Deviation (MAD)0
Skewness7.571040029 × 10-5
Sum1485406
Variance0.3378464884
MonotonicityNot monotonic
2023-02-17T12:44:27.711096image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 492053
55.2%
1 125937
 
14.1%
3 125121
 
14.0%
(Missing) 148110
 
16.6%
ValueCountFrequency (%)
1 125937
 
14.1%
2 492053
55.2%
3 125121
 
14.0%
ValueCountFrequency (%)
3 125121
 
14.0%
2 492053
55.2%
1 125937
 
14.1%

KBA05_KRSZUL
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.927241018
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:27.835234image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6951368405
Coefficient of variation (CV)0.3606901441
Kurtosis-0.9324475077
Mean1.927241018
Median Absolute Deviation (MAD)0
Skewness0.09854379503
Sum1432154
Variance0.483215227
MonotonicityNot monotonic
2023-02-17T12:44:27.948759image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 380095
42.6%
1 208542
23.4%
3 154474
17.3%
(Missing) 148110
 
16.6%
ValueCountFrequency (%)
1 208542
23.4%
2 380095
42.6%
3 154474
17.3%
ValueCountFrequency (%)
3 154474
17.3%
2 380095
42.6%
1 208542
23.4%

KBA05_KW1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.976026462
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:28.078250image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.106830107
Coefficient of variation (CV)0.3719154116
Kurtosis-0.599521211
Mean2.976026462
Median Absolute Deviation (MAD)1
Skewness-0.006628350927
Sum2211518
Variance1.225072885
MonotonicityNot monotonic
2023-02-17T12:44:28.188728image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 274856
30.8%
4 160522
18.0%
2 160221
18.0%
1 78285
 
8.8%
5 69227
 
7.8%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 78285
 
8.8%
2 160221
18.0%
3 274856
30.8%
4 160522
18.0%
5 69227
 
7.8%
ValueCountFrequency (%)
5 69227
 
7.8%
4 160522
18.0%
3 274856
30.8%
2 160221
18.0%
1 78285
 
8.8%

KBA05_KW2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.996550986
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:28.323529image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054101734
Coefficient of variation (CV)0.3517716664
Kurtosis-0.4046606443
Mean2.996550986
Median Absolute Deviation (MAD)1
Skewness0.00869122059
Sum2226770
Variance1.111130465
MonotonicityNot monotonic
2023-02-17T12:44:28.434610image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 306246
34.4%
2 155172
17.4%
4 152081
17.1%
5 64938
 
7.3%
1 64674
 
7.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 64674
 
7.3%
2 155172
17.4%
3 306246
34.4%
4 152081
17.1%
5 64938
 
7.3%
ValueCountFrequency (%)
5 64938
 
7.3%
4 152081
17.1%
3 306246
34.4%
2 155172
17.4%
1 64674
 
7.3%

KBA05_KW3
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.40303131
Minimum0
Maximum4
Zeros206843
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:28.554206image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.229254287
Coefficient of variation (CV)0.8761417356
Kurtosis-0.552182533
Mean1.40303131
Median Absolute Deviation (MAD)1
Skewness0.618775484
Sum1042608
Variance1.511066103
MonotonicityNot monotonic
2023-02-17T12:44:28.658819image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 233518
26.2%
0 206843
23.2%
2 160776
18.0%
3 80358
 
9.0%
4 61616
 
6.9%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 206843
23.2%
1 233518
26.2%
2 160776
18.0%
3 80358
 
9.0%
4 61616
 
6.9%
ValueCountFrequency (%)
4 61616
 
6.9%
3 80358
 
9.0%
2 160776
18.0%
1 233518
26.2%
0 206843
23.2%

KBA05_MAXAH
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean3.275241518
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:28.778989image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.279102407
Coefficient of variation (CV)0.3905368199
Kurtosis-1.183394956
Mean3.275241518
Median Absolute Deviation (MAD)1
Skewness0.03167459601
Sum2433868
Variance1.636102967
MonotonicityNot monotonic
2023-02-17T12:44:28.887747image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 209157
23.5%
5 195036
21.9%
2 185708
20.8%
4 102197
11.5%
1 51013
 
5.7%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 51013
 
5.7%
2 185708
20.8%
3 209157
23.5%
4 102197
11.5%
5 195036
21.9%
ValueCountFrequency (%)
5 195036
21.9%
4 102197
11.5%
3 209157
23.5%
2 185708
20.8%
1 51013
 
5.7%

KBA05_MAXBJ
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.314158988
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:29.000762image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.188135453
Coefficient of variation (CV)0.5134199763
Kurtosis-1.441204879
Mean2.314158988
Median Absolute Deviation (MAD)1
Skewness0.278376149
Sum1719677
Variance1.411665855
MonotonicityNot monotonic
2023-02-17T12:44:29.096833image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 256917
28.8%
4 187538
21.0%
2 183360
20.6%
3 115296
12.9%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 256917
28.8%
2 183360
20.6%
3 115296
12.9%
4 187538
21.0%
ValueCountFrequency (%)
4 187538
21.0%
3 115296
12.9%
2 183360
20.6%
1 256917
28.8%

KBA05_MAXHERST
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.747018951
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:29.206339image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.116047946
Coefficient of variation (CV)0.406276027
Kurtosis-0.5685922053
Mean2.747018951
Median Absolute Deviation (MAD)1
Skewness0.4118186949
Sum2041340
Variance1.245563017
MonotonicityNot monotonic
2023-02-17T12:44:29.312972image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 270729
30.4%
3 209450
23.5%
4 116436
13.1%
1 81673
 
9.2%
5 64823
 
7.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 81673
 
9.2%
2 270729
30.4%
3 209450
23.5%
4 116436
13.1%
5 64823
 
7.3%
ValueCountFrequency (%)
5 64823
 
7.3%
4 116436
13.1%
3 209450
23.5%
2 270729
30.4%
1 81673
 
9.2%

KBA05_MAXSEG
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.144531571
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:29.427221image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9250075518
Coefficient of variation (CV)0.4313331473
Kurtosis-0.6843775201
Mean2.144531571
Median Absolute Deviation (MAD)1
Skewness0.4153998089
Sum1593625
Variance0.855638971
MonotonicityNot monotonic
2023-02-17T12:44:29.526731image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 299180
33.6%
1 202835
22.8%
3 171954
19.3%
4 69142
 
7.8%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 202835
22.8%
2 299180
33.6%
3 171954
19.3%
4 69142
 
7.8%
ValueCountFrequency (%)
4 69142
 
7.8%
3 171954
19.3%
2 299180
33.6%
1 202835
22.8%

KBA05_MAXVORB
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.083326717
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:29.639292image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7469903246
Coefficient of variation (CV)0.3585564945
Kurtosis-1.199641198
Mean2.083326717
Median Absolute Deviation (MAD)1
Skewness-0.1361257226
Sum1548143
Variance0.557994545
MonotonicityNot monotonic
2023-02-17T12:44:29.746225image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 323300
36.3%
3 240866
27.0%
1 178945
20.1%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 178945
20.1%
2 323300
36.3%
3 240866
27.0%
ValueCountFrequency (%)
3 240866
27.0%
2 323300
36.3%
1 178945
20.1%

KBA05_MOD1
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.286876389
Minimum0
Maximum4
Zeros286087
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:29.867918image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.263199425
Coefficient of variation (CV)0.9816012136
Kurtosis-0.7952153144
Mean1.286876389
Median Absolute Deviation (MAD)1
Skewness0.5647573887
Sum956292
Variance1.595672787
MonotonicityNot monotonic
2023-02-17T12:44:29.973443image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 286087
32.1%
2 180755
20.3%
1 140854
15.8%
3 87732
 
9.8%
4 47683
 
5.4%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 286087
32.1%
1 140854
15.8%
2 180755
20.3%
3 87732
 
9.8%
4 47683
 
5.4%
ValueCountFrequency (%)
4 47683
 
5.4%
3 87732
 
9.8%
2 180755
20.3%
1 140854
15.8%
0 286087
32.1%

KBA05_MOD2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.973859894
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:30.094926image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.04516001
Coefficient of variation (CV)0.3514489745
Kurtosis-0.4174770501
Mean2.973859894
Median Absolute Deviation (MAD)1
Skewness-0.004008213814
Sum2209908
Variance1.092359447
MonotonicityNot monotonic
2023-02-17T12:44:30.207302image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 301207
33.8%
2 160999
18.1%
4 157456
17.7%
1 65695
 
7.4%
5 57754
 
6.5%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 65695
 
7.4%
2 160999
18.1%
3 301207
33.8%
4 157456
17.7%
5 57754
 
6.5%
ValueCountFrequency (%)
5 57754
 
6.5%
4 157456
17.7%
3 301207
33.8%
2 160999
18.1%
1 65695
 
7.4%

KBA05_MOD3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.97858328
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:30.333337image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.073708395
Coefficient of variation (CV)0.3604762041
Kurtosis-0.5519060397
Mean2.97858328
Median Absolute Deviation (MAD)1
Skewness0.005860858108
Sum2213418
Variance1.152849717
MonotonicityNot monotonic
2023-02-17T12:44:30.440409image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 276748
31.1%
2 170403
19.1%
4 165736
18.6%
1 67924
 
7.6%
5 62300
 
7.0%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 67924
 
7.6%
2 170403
19.1%
3 276748
31.1%
4 165736
18.6%
5 62300
 
7.0%
ValueCountFrequency (%)
5 62300
 
7.0%
4 165736
18.6%
3 276748
31.1%
2 170403
19.1%
1 67924
 
7.6%

KBA05_MOD4
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.709850884
Minimum0
Maximum5
Zeros50590
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:30.555045image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.371398966
Coefficient of variation (CV)0.5060791258
Kurtosis-0.6463552692
Mean2.709850884
Median Absolute Deviation (MAD)1
Skewness-0.1558655504
Sum2013720
Variance1.880735125
MonotonicityNot monotonic
2023-02-17T12:44:30.666236image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 223139
25.0%
2 160094
18.0%
4 130801
14.7%
1 97881
11.0%
5 80606
 
9.0%
0 50590
 
5.7%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 50590
 
5.7%
1 97881
11.0%
2 160094
18.0%
3 223139
25.0%
4 130801
14.7%
ValueCountFrequency (%)
5 80606
 
9.0%
4 130801
14.7%
3 223139
25.0%
2 160094
18.0%
1 97881
11.0%

KBA05_MOD8
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.227782929
Minimum0
Maximum3
Zeros221889
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:30.768747image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.003948308
Coefficient of variation (CV)0.8176920242
Kurtosis-1.089170537
Mean1.227782929
Median Absolute Deviation (MAD)1
Skewness0.2289587548
Sum912379
Variance1.007912206
MonotonicityNot monotonic
2023-02-17T12:44:30.865383image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 221889
24.9%
1 217315
24.4%
2 216657
24.3%
3 87250
 
9.8%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 221889
24.9%
1 217315
24.4%
2 216657
24.3%
3 87250
 
9.8%
ValueCountFrequency (%)
3 87250
 
9.8%
2 216657
24.3%
1 217315
24.4%
0 221889
24.9%

KBA05_MODTEMP
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean3.006466827
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:30.979075image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255616012
Coefficient of variation (CV)0.4176384054
Kurtosis-0.7025907215
Mean3.006466827
Median Absolute Deviation (MAD)1
Skewness-0.1950516299
Sum2399380
Variance1.576571568
MonotonicityNot monotonic
2023-02-17T12:44:31.089036image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 267178
30.0%
4 226782
25.4%
1 151667
17.0%
2 77576
 
8.7%
5 65321
 
7.3%
6 9549
 
1.1%
(Missing) 93148
 
10.5%
ValueCountFrequency (%)
1 151667
17.0%
2 77576
 
8.7%
3 267178
30.0%
4 226782
25.4%
5 65321
 
7.3%
ValueCountFrequency (%)
6 9549
 
1.1%
5 65321
 
7.3%
4 226782
25.4%
3 267178
30.0%
2 77576
 
8.7%

KBA05_MOTOR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.523301364
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:31.202855image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.933557435
Coefficient of variation (CV)0.3699746088
Kurtosis-0.8617539013
Mean2.523301364
Median Absolute Deviation (MAD)1
Skewness-0.1224945283
Sum1875093
Variance0.8715294845
MonotonicityNot monotonic
2023-02-17T12:44:31.317811image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 289858
32.5%
2 222119
24.9%
1 121085
13.6%
4 110049
 
12.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 121085
13.6%
2 222119
24.9%
3 289858
32.5%
4 110049
 
12.3%
ValueCountFrequency (%)
4 110049
 
12.3%
3 289858
32.5%
2 222119
24.9%
1 121085
13.6%

KBA05_MOTRAD
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing146536
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean1.024281408
Minimum0
Maximum3
Zeros204268
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:31.440947image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8781636069
Coefficient of variation (CV)0.8573460383
Kurtosis0.2073868724
Mean1.024281408
Median Absolute Deviation (MAD)0
Skewness0.8338895542
Sum762767
Variance0.7711713204
MonotonicityNot monotonic
2023-02-17T12:44:31.540336image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 392117
44.0%
0 204268
22.9%
2 74250
 
8.3%
3 74050
 
8.3%
(Missing) 146536
 
16.4%
ValueCountFrequency (%)
0 204268
22.9%
1 392117
44.0%
2 74250
 
8.3%
3 74050
 
8.3%
ValueCountFrequency (%)
3 74050
 
8.3%
2 74250
 
8.3%
1 392117
44.0%
0 204268
22.9%

KBA05_SEG1
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.079008385
Minimum0
Maximum3
Zeros246416
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:31.651363image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9467836435
Coefficient of variation (CV)0.8774571696
Kurtosis-0.8571483521
Mean1.079008385
Median Absolute Deviation (MAD)1
Skewness0.4092637052
Sum801823
Variance0.8963992675
MonotonicityNot monotonic
2023-02-17T12:44:31.747971image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 251176
28.2%
0 246416
27.6%
2 185910
20.9%
3 59609
 
6.7%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 246416
27.6%
1 251176
28.2%
2 185910
20.9%
3 59609
 
6.7%
ValueCountFrequency (%)
3 59609
 
6.7%
2 185910
20.9%
1 251176
28.2%
0 246416
27.6%

KBA05_SEG10
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.865998485
Minimum0
Maximum4
Zeros111769
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:31.861541image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.152803483
Coefficient of variation (CV)0.6177944369
Kurtosis-0.7131794165
Mean1.865998485
Median Absolute Deviation (MAD)1
Skewness0.007957971154
Sum1386644
Variance1.328955871
MonotonicityNot monotonic
2023-02-17T12:44:31.968195image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 267744
30.0%
1 151524
17.0%
3 148664
16.7%
0 111769
12.5%
4 63410
 
7.1%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 111769
12.5%
1 151524
17.0%
2 267744
30.0%
3 148664
16.7%
4 63410
 
7.1%
ValueCountFrequency (%)
4 63410
 
7.1%
3 148664
16.7%
2 267744
30.0%
1 151524
17.0%
0 111769
12.5%

KBA05_SEG2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.981309656
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:32.089755image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.050692251
Coefficient of variation (CV)0.3524264071
Kurtosis-0.4302387164
Mean2.981309656
Median Absolute Deviation (MAD)1
Skewness-0.05205883977
Sum2215444
Variance1.103954206
MonotonicityNot monotonic
2023-02-17T12:44:32.211653image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 300423
33.7%
4 164242
18.4%
2 152469
17.1%
1 69404
 
7.8%
5 56573
 
6.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 69404
 
7.8%
2 152469
17.1%
3 300423
33.7%
4 164242
18.4%
5 56573
 
6.3%
ValueCountFrequency (%)
5 56573
 
6.3%
4 164242
18.4%
3 300423
33.7%
2 152469
17.1%
1 69404
 
7.8%

KBA05_SEG3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.96902347
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:32.340318image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.064155612
Coefficient of variation (CV)0.3584194003
Kurtosis-0.5604219245
Mean2.96902347
Median Absolute Deviation (MAD)1
Skewness0.05297689838
Sum2206314
Variance1.132427166
MonotonicityNot monotonic
2023-02-17T12:44:32.445704image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 271266
30.4%
2 184407
20.7%
4 163976
18.4%
1 62378
 
7.0%
5 61084
 
6.9%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 62378
 
7.0%
2 184407
20.7%
3 271266
30.4%
4 163976
18.4%
5 61084
 
6.9%
ValueCountFrequency (%)
5 61084
 
6.9%
4 163976
18.4%
3 271266
30.4%
2 184407
20.7%
1 62378
 
7.0%

KBA05_SEG4
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.986965608
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:32.572608image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.032238445
Coefficient of variation (CV)0.3455809609
Kurtosis-0.29834222
Mean2.986965608
Median Absolute Deviation (MAD)1
Skewness0.02299390471
Sum2219647
Variance1.065516207
MonotonicityNot monotonic
2023-02-17T12:44:32.681316image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 322991
36.2%
2 152522
17.1%
4 143664
16.1%
1 62174
 
7.0%
5 61760
 
6.9%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 62174
 
7.0%
2 152522
17.1%
3 322991
36.2%
4 143664
16.1%
5 61760
 
6.9%
ValueCountFrequency (%)
5 61760
 
6.9%
4 143664
16.1%
3 322991
36.2%
2 152522
17.1%
1 62174
 
7.0%

KBA05_SEG5
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.450710594
Minimum0
Maximum4
Zeros182816
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:32.804206image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.180860725
Coefficient of variation (CV)0.8139878004
Kurtosis-0.57459896
Mean1.450710594
Median Absolute Deviation (MAD)1
Skewness0.5150353413
Sum1078039
Variance1.394432052
MonotonicityNot monotonic
2023-02-17T12:44:32.914247image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 235093
26.4%
2 183424
20.6%
0 182816
20.5%
3 91014
 
10.2%
4 50764
 
5.7%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 182816
20.5%
1 235093
26.4%
2 183424
20.6%
3 91014
 
10.2%
4 50764
 
5.7%
ValueCountFrequency (%)
4 50764
 
5.7%
3 91014
 
10.2%
2 183424
20.6%
1 235093
26.4%
0 182816
20.5%

KBA05_SEG6
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean0.1190683491
Minimum0
Maximum1
Zeros654630
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:33.029178image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.323869138
Coefficient of variation (CV)2.720027113
Kurtosis3.533731237
Mean0.1190683491
Median Absolute Deviation (MAD)0
Skewness2.35238639
Sum88481
Variance0.1048912185
MonotonicityNot monotonic
2023-02-17T12:44:33.137519image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 654630
73.5%
1 88481
 
9.9%
(Missing) 148110
 
16.6%
ValueCountFrequency (%)
0 654630
73.5%
1 88481
 
9.9%
ValueCountFrequency (%)
1 88481
 
9.9%
0 654630
73.5%

KBA05_SEG7
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean0.8291937544
Minimum0
Maximum3
Zeros368086
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:33.243304image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9618903335
Coefficient of variation (CV)1.160030847
Kurtosis-0.564039347
Mean0.8291937544
Median Absolute Deviation (MAD)1
Skewness0.799954468
Sum616183
Variance0.9252330138
MonotonicityNot monotonic
2023-02-17T12:44:33.342731image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 368086
41.3%
1 183860
20.6%
2 141172
 
15.8%
3 49993
 
5.6%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 368086
41.3%
1 183860
20.6%
2 141172
 
15.8%
3 49993
 
5.6%
ValueCountFrequency (%)
3 49993
 
5.6%
2 141172
 
15.8%
1 183860
20.6%
0 368086
41.3%

KBA05_SEG8
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean0.7401370724
Minimum0
Maximum3
Zeros403849
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:33.460804image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9387849774
Coefficient of variation (CV)1.2683934
Kurtosis-0.218996243
Mean0.7401370724
Median Absolute Deviation (MAD)0
Skewness0.9791693785
Sum550004
Variance0.8813172338
MonotonicityNot monotonic
2023-02-17T12:44:33.553815image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 403849
45.3%
1 173773
19.5%
2 120236
 
13.5%
3 45253
 
5.1%
(Missing) 148110
 
16.6%
ValueCountFrequency (%)
0 403849
45.3%
1 173773
19.5%
2 120236
 
13.5%
3 45253
 
5.1%
ValueCountFrequency (%)
3 45253
 
5.1%
2 120236
 
13.5%
1 173773
19.5%
0 403849
45.3%

KBA05_SEG9
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean1.058615738
Minimum0
Maximum3
Zeros257693
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:33.657532image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9492121159
Coefficient of variation (CV)0.8966540752
Kurtosis-0.8864089116
Mean1.058615738
Median Absolute Deviation (MAD)1
Skewness0.4171782171
Sum786669
Variance0.901003641
MonotonicityNot monotonic
2023-02-17T12:44:33.759959image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 257693
28.9%
1 240744
27.0%
2 188097
21.1%
3 56577
 
6.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 257693
28.9%
1 240744
27.0%
2 188097
21.1%
3 56577
 
6.3%
ValueCountFrequency (%)
3 56577
 
6.3%
2 188097
21.1%
1 240744
27.0%
0 257693
28.9%

KBA05_VORB0
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.850062777
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:33.881575image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.145166999
Coefficient of variation (CV)0.4018041317
Kurtosis-0.7746598251
Mean2.850062777
Median Absolute Deviation (MAD)1
Skewness0.02537069494
Sum2117913
Variance1.311407456
MonotonicityNot monotonic
2023-02-17T12:44:33.988295image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 243780
27.4%
2 173206
19.4%
4 162160
18.2%
1 107076
12.0%
5 56889
 
6.4%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 107076
12.0%
2 173206
19.4%
3 243780
27.4%
4 162160
18.2%
5 56889
 
6.4%
ValueCountFrequency (%)
5 56889
 
6.4%
4 162160
18.2%
3 243780
27.4%
2 173206
19.4%
1 107076
12.0%

KBA05_VORB1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.994757176
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:34.112891image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054024759
Coefficient of variation (CV)0.3519566687
Kurtosis-0.3872284708
Mean2.994757176
Median Absolute Deviation (MAD)1
Skewness0.0129067641
Sum2225437
Variance1.110968193
MonotonicityNot monotonic
2023-02-17T12:44:34.219790image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 310192
34.8%
2 153319
17.2%
4 148709
16.7%
5 65624
 
7.4%
1 65267
 
7.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 65267
 
7.3%
2 153319
17.2%
3 310192
34.8%
4 148709
16.7%
5 65624
 
7.4%
ValueCountFrequency (%)
5 65624
 
7.4%
4 148709
16.7%
3 310192
34.8%
2 153319
17.2%
1 65267
 
7.3%

KBA05_VORB2
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.736655762
Minimum0
Maximum5
Zeros54357
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:34.347612image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.377829787
Coefficient of variation (CV)0.5034720867
Kurtosis-0.5750096807
Mean2.736655762
Median Absolute Deviation (MAD)1
Skewness-0.1793071477
Sum2033639
Variance1.898414922
MonotonicityNot monotonic
2023-02-17T12:44:34.453651image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 234755
26.3%
2 160742
18.0%
4 120239
13.5%
5 88479
 
9.9%
1 84539
 
9.5%
0 54357
 
6.1%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 54357
 
6.1%
1 84539
 
9.5%
2 160742
18.0%
3 234755
26.3%
4 120239
13.5%
ValueCountFrequency (%)
5 88479
 
9.9%
4 120239
13.5%
3 234755
26.3%
2 160742
18.0%
1 84539
 
9.5%

KBA05_ZUL1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.983839561
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:34.561154image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.056423132
Coefficient of variation (CV)0.3540482355
Kurtosis-0.4387254296
Mean2.983839561
Median Absolute Deviation (MAD)1
Skewness-0.01386642668
Sum2217324
Variance1.116029833
MonotonicityNot monotonic
2023-02-17T12:44:34.676093image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 299375
33.6%
4 158290
17.8%
2 156849
17.6%
1 67661
 
7.6%
5 60936
 
6.8%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 67661
 
7.6%
2 156849
17.6%
3 299375
33.6%
4 158290
17.8%
5 60936
 
6.8%
ValueCountFrequency (%)
5 60936
 
6.8%
4 158290
17.8%
3 299375
33.6%
2 156849
17.6%
1 67661
 
7.6%

KBA05_ZUL2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.987728617
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:34.814608image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.062523794
Coefficient of variation (CV)0.3556292858
Kurtosis-0.4900661873
Mean2.987728617
Median Absolute Deviation (MAD)1
Skewness0.0157901677
Sum2220214
Variance1.128956813
MonotonicityNot monotonic
2023-02-17T12:44:34.927304image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 288618
32.4%
2 166431
18.7%
4 159876
17.9%
1 64734
 
7.3%
5 63452
 
7.1%
(Missing) 148110
16.6%
ValueCountFrequency (%)
1 64734
 
7.3%
2 166431
18.7%
3 288618
32.4%
4 159876
17.9%
5 63452
 
7.1%
ValueCountFrequency (%)
5 63452
 
7.1%
4 159876
17.9%
3 288618
32.4%
2 166431
18.7%
1 64734
 
7.3%

KBA05_ZUL3
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.658892144
Minimum0
Maximum5
Zeros71287
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:35.049974image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.368845103
Coefficient of variation (CV)0.5148178372
Kurtosis-0.5667095207
Mean2.658892144
Median Absolute Deviation (MAD)1
Skewness-0.3234430932
Sum1975852
Variance1.873736916
MonotonicityNot monotonic
2023-02-17T12:44:35.151700image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 224580
25.2%
2 160683
18.0%
4 156551
17.6%
1 73877
 
8.3%
0 71287
 
8.0%
5 56133
 
6.3%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 71287
 
8.0%
1 73877
 
8.3%
2 160683
18.0%
3 224580
25.2%
4 156551
17.6%
ValueCountFrequency (%)
5 56133
 
6.3%
4 156551
17.6%
3 224580
25.2%
2 160683
18.0%
1 73877
 
8.3%

KBA05_ZUL4
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing148110
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean2.136511235
Minimum0
Maximum5
Zeros105584
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:35.256840image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.464898785
Coefficient of variation (CV)0.6856499331
Kurtosis-0.8400299549
Mean2.136511235
Median Absolute Deviation (MAD)1
Skewness0.3027585675
Sum1587665
Variance2.14592845
MonotonicityNot monotonic
2023-02-17T12:44:35.365714image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 183127
20.5%
1 174910
19.6%
3 125299
14.1%
0 105584
11.8%
4 100351
11.3%
5 53840
 
6.0%
(Missing) 148110
16.6%
ValueCountFrequency (%)
0 105584
11.8%
1 174910
19.6%
2 183127
20.5%
3 125299
14.1%
4 100351
11.3%
ValueCountFrequency (%)
5 53840
 
6.0%
4 100351
11.3%
3 125299
14.1%
2 183127
20.5%
1 174910
19.6%

KBA13_ALTERHALTER_30
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.978738791
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:35.477856image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.061121296
Coefficient of variation (CV)0.3562317379
Kurtosis-0.3731882011
Mean2.978738791
Median Absolute Deviation (MAD)1
Skewness0.03217611328
Sum2339564
Variance1.125978405
MonotonicityNot monotonic
2023-02-17T12:44:35.591008image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 333405
37.4%
2 160653
18.0%
4 147128
16.5%
1 72911
 
8.2%
5 71324
 
8.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 72911
 
8.2%
2 160653
18.0%
3 333405
37.4%
4 147128
16.5%
5 71324
 
8.0%
ValueCountFrequency (%)
5 71324
 
8.0%
4 147128
16.5%
3 333405
37.4%
2 160653
18.0%
1 72911
 
8.2%

KBA13_ALTERHALTER_45
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.084179058
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:35.717303image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.114805084
Coefficient of variation (CV)0.3614592614
Kurtosis-0.5654276947
Mean3.084179058
Median Absolute Deviation (MAD)1
Skewness-0.01395475423
Sum2422379
Variance1.242790376
MonotonicityNot monotonic
2023-02-17T12:44:35.829649image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 305775
34.3%
4 161597
18.1%
2 150705
16.9%
5 97478
 
10.9%
1 69866
 
7.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 69866
 
7.8%
2 150705
16.9%
3 305775
34.3%
4 161597
18.1%
5 97478
 
10.9%
ValueCountFrequency (%)
5 97478
 
10.9%
4 161597
18.1%
3 305775
34.3%
2 150705
16.9%
1 69866
 
7.8%

KBA13_ALTERHALTER_60
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.818779992
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:35.956845image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.054657287
Coefficient of variation (CV)0.3741538148
Kurtosis-0.3981906612
Mean2.818779992
Median Absolute Deviation (MAD)1
Skewness0.08946759222
Sum2213929
Variance1.112301993
MonotonicityNot monotonic
2023-02-17T12:44:36.069522image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 321522
36.1%
2 188053
21.1%
4 130673
14.7%
1 93825
 
10.5%
5 51348
 
5.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 93825
 
10.5%
2 188053
21.1%
3 321522
36.1%
4 130673
14.7%
5 51348
 
5.8%
ValueCountFrequency (%)
5 51348
 
5.8%
4 130673
14.7%
3 321522
36.1%
2 188053
21.1%
1 93825
 
10.5%

KBA13_ALTERHALTER_61
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.119898755
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:36.198769image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065410583
Coefficient of variation (CV)0.3414888324
Kurtosis-0.4128051035
Mean3.119898755
Median Absolute Deviation (MAD)1
Skewness-0.06678870613
Sum2450434
Variance1.13509971
MonotonicityNot monotonic
2023-02-17T12:44:36.310314image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 323096
36.3%
4 177428
19.9%
2 138065
15.5%
5 87118
 
9.8%
1 59714
 
6.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 59714
 
6.7%
2 138065
15.5%
3 323096
36.3%
4 177428
19.9%
5 87118
 
9.8%
ValueCountFrequency (%)
5 87118
 
9.8%
4 177428
19.9%
3 323096
36.3%
2 138065
15.5%
1 59714
 
6.7%

KBA13_ANTG1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.150964897
Minimum0
Maximum4
Zeros8008
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:36.442065image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9210521813
Coefficient of variation (CV)0.42820419
Kurtosis-0.6709746298
Mean2.150964897
Median Absolute Deviation (MAD)1
Skewness0.1865166011
Sum1689413
Variance0.8483371206
MonotonicityNot monotonic
2023-02-17T12:44:36.550709image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 299448
33.6%
3 219174
24.6%
1 200723
22.5%
4 58068
 
6.5%
0 8008
 
0.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 8008
 
0.9%
1 200723
22.5%
2 299448
33.6%
3 219174
24.6%
4 58068
 
6.5%
ValueCountFrequency (%)
4 58068
 
6.5%
3 219174
24.6%
2 299448
33.6%
1 200723
22.5%
0 8008
 
0.9%

KBA13_ANTG2
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.777878361
Minimum0
Maximum4
Zeros10772
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:36.672827image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9326849963
Coefficient of variation (CV)0.3357544411
Kurtosis-0.1208342677
Mean2.777878361
Median Absolute Deviation (MAD)1
Skewness-0.5026202435
Sum2181804
Variance0.8699013024
MonotonicityNot monotonic
2023-02-17T12:44:36.785799image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 325207
36.5%
2 207993
23.3%
4 182916
20.5%
1 58533
 
6.6%
0 10772
 
1.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 10772
 
1.2%
1 58533
 
6.6%
2 207993
23.3%
3 325207
36.5%
4 182916
20.5%
ValueCountFrequency (%)
4 182916
20.5%
3 325207
36.5%
2 207993
23.3%
1 58533
 
6.6%
0 10772
 
1.2%

KBA13_ANTG3
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.604805576
Minimum0
Maximum3
Zeros134190
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:36.911250image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.017782623
Coefficient of variation (CV)0.6342093012
Kurtosis-1.097976664
Mean1.604805576
Median Absolute Deviation (MAD)1
Skewness-0.123738817
Sum1260448
Variance1.035881467
MonotonicityNot monotonic
2023-02-17T12:44:37.008140image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 251723
28.2%
1 220761
24.8%
3 178747
20.1%
0 134190
15.1%
(Missing) 105800
11.9%
ValueCountFrequency (%)
0 134190
15.1%
1 220761
24.8%
2 251723
28.2%
3 178747
20.1%
ValueCountFrequency (%)
3 178747
20.1%
2 251723
28.2%
1 220761
24.8%
0 134190
15.1%

KBA13_ANTG4
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean0.6764143052
Minimum0
Maximum2
Zeros380795
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:37.122905image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7357755114
Coefficient of variation (CV)1.08775865
Kurtosis-0.95191726
Mean0.6764143052
Median Absolute Deviation (MAD)1
Skewness0.5920587517
Sum531270
Variance0.5413656032
MonotonicityNot monotonic
2023-02-17T12:44:37.232533image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 380795
42.7%
1 277982
31.2%
2 126644
 
14.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 380795
42.7%
1 277982
31.2%
2 126644
 
14.2%
ValueCountFrequency (%)
2 126644
 
14.2%
1 277982
31.2%
0 380795
42.7%

KBA13_ANZAHL_PKW
Real number (ℝ)

Distinct1261
Distinct (%)0.2%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean619.7014391
Minimum0
Maximum2300
Zeros62
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:37.399218image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile201
Q1384
median549
Q3778
95-th percentile1300
Maximum2300
Range2300
Interquartile range (IQR)394

Descriptive statistics

Standard deviation340.0343177
Coefficient of variation (CV)0.5487066776
Kurtosis2.0596211
Mean619.7014391
Median Absolute Deviation (MAD)189
Skewness1.263093879
Sum486726524
Variance115623.3372
MonotonicityNot monotonic
2023-02-17T12:44:37.556746image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1400 11722
 
1.3%
1500 8291
 
0.9%
1300 6427
 
0.7%
1600 6135
 
0.7%
1700 3795
 
0.4%
1800 2617
 
0.3%
464 1604
 
0.2%
417 1604
 
0.2%
519 1600
 
0.2%
534 1496
 
0.2%
Other values (1251) 740130
83.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 62
< 0.1%
1 8
 
< 0.1%
2 6
 
< 0.1%
3 6
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
2300 611
0.1%
2200 307
 
< 0.1%
2100 651
0.1%
2000 1198
0.1%
1900 1450
0.2%

KBA13_AUDI
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.005442941
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:37.678764image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.003597798
Coefficient of variation (CV)0.3339267515
Kurtosis-0.2392083527
Mean3.005442941
Median Absolute Deviation (MAD)1
Skewness0.02179226185
Sum2360538
Variance1.00720854
MonotonicityNot monotonic
2023-02-17T12:44:37.788775image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 346606
38.9%
2 162879
18.3%
4 158506
17.8%
5 60877
 
6.8%
1 56553
 
6.3%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 56553
 
6.3%
2 162879
18.3%
3 346606
38.9%
4 158506
17.8%
5 60877
 
6.8%
ValueCountFrequency (%)
5 60877
 
6.8%
4 158506
17.8%
3 346606
38.9%
2 162879
18.3%
1 56553
 
6.3%

KBA13_AUTOQUOTE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.782242899
Minimum0
Maximum5
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:37.907747image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.049191043
Coefficient of variation (CV)0.3771026044
Kurtosis-0.4172424007
Mean2.782242899
Median Absolute Deviation (MAD)1
Skewness0.06123555661
Sum2185232
Variance1.100801845
MonotonicityNot monotonic
2023-02-17T12:44:38.014456image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 322478
36.2%
2 186121
20.9%
4 130528
14.6%
1 102004
 
11.4%
5 44288
 
5.0%
0 2
 
< 0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 102004
 
11.4%
2 186121
20.9%
3 322478
36.2%
4 130528
14.6%
ValueCountFrequency (%)
5 44288
 
5.0%
4 130528
14.6%
3 322478
36.2%
2 186121
20.9%
1 102004
 
11.4%

KBA13_BAUMAX
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.019614958
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:38.124080image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.510166802
Coefficient of variation (CV)0.7477498597
Kurtosis-0.4361018972
Mean2.019614958
Median Absolute Deviation (MAD)0
Skewness1.10331607
Sum1586248
Variance2.280603769
MonotonicityNot monotonic
2023-02-17T12:44:38.231140image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 491118
55.1%
5 115476
 
13.0%
2 69249
 
7.8%
3 59060
 
6.6%
4 50518
 
5.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 491118
55.1%
2 69249
 
7.8%
3 59060
 
6.6%
4 50518
 
5.7%
5 115476
 
13.0%
ValueCountFrequency (%)
5 115476
 
13.0%
4 50518
 
5.7%
3 59060
 
6.6%
2 69249
 
7.8%
1 491118
55.1%

KBA13_BJ_1999
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.987050257
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:38.353003image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9623328427
Coefficient of variation (CV)0.3221682797
Kurtosis-0.1314701587
Mean2.987050257
Median Absolute Deviation (MAD)1
Skewness0.01132096294
Sum2346092
Variance0.9260845002
MonotonicityNot monotonic
2023-02-17T12:44:38.467379image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 359190
40.3%
2 166296
18.7%
4 159513
17.9%
1 51058
 
5.7%
5 49364
 
5.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 51058
 
5.7%
2 166296
18.7%
3 359190
40.3%
4 159513
17.9%
5 49364
 
5.5%
ValueCountFrequency (%)
5 49364
 
5.5%
4 159513
17.9%
3 359190
40.3%
2 166296
18.7%
1 51058
 
5.7%

KBA13_BJ_2000
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.99091952
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:38.598785image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99708089
Coefficient of variation (CV)0.333369348
Kurtosis-0.227519959
Mean2.99091952
Median Absolute Deviation (MAD)1
Skewness0.008451281402
Sum2349131
Variance0.9941703013
MonotonicityNot monotonic
2023-02-17T12:44:38.712234image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 347385
39.0%
2 164179
18.4%
4 159567
17.9%
1 57775
 
6.5%
5 56515
 
6.3%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 57775
 
6.5%
2 164179
18.4%
3 347385
39.0%
4 159567
17.9%
5 56515
 
6.3%
ValueCountFrequency (%)
5 56515
 
6.3%
4 159567
17.9%
3 347385
39.0%
2 164179
18.4%
1 57775
 
6.5%

KBA13_BJ_2004
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.982818132
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:38.846638image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.950731195
Coefficient of variation (CV)0.318735891
Kurtosis-0.08871876063
Mean2.982818132
Median Absolute Deviation (MAD)1
Skewness0.01212959383
Sum2342768
Variance0.9038898051
MonotonicityNot monotonic
2023-02-17T12:44:38.953600image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 364930
40.9%
2 166228
18.7%
4 157705
17.7%
1 49522
 
5.6%
5 47036
 
5.3%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 49522
 
5.6%
2 166228
18.7%
3 364930
40.9%
4 157705
17.7%
5 47036
 
5.3%
ValueCountFrequency (%)
5 47036
 
5.3%
4 157705
17.7%
3 364930
40.9%
2 166228
18.7%
1 49522
 
5.6%

KBA13_BJ_2006
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.983200093
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:39.079664image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9647523107
Coefficient of variation (CV)0.3233951062
Kurtosis-0.1477449673
Mean2.983200093
Median Absolute Deviation (MAD)1
Skewness0.003641640636
Sum2343068
Variance0.930747021
MonotonicityNot monotonic
2023-02-17T12:44:39.189817image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 356794
40.0%
2 166960
18.7%
4 160793
18.0%
1 52194
 
5.9%
5 48680
 
5.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 52194
 
5.9%
2 166960
18.7%
3 356794
40.0%
4 160793
18.0%
5 48680
 
5.5%
ValueCountFrequency (%)
5 48680
 
5.5%
4 160793
18.0%
3 356794
40.0%
2 166960
18.7%
1 52194
 
5.9%

KBA13_BJ_2008
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.430025426
Minimum0
Maximum5
Zeros134372
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:39.310480image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.466413072
Coefficient of variation (CV)0.6034558553
Kurtosis-0.6612136716
Mean2.430025426
Median Absolute Deviation (MAD)1
Skewness-0.2097089564
Sum1908593
Variance2.150367297
MonotonicityNot monotonic
2023-02-17T12:44:39.417250image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 274885
30.8%
2 170564
19.1%
0 134372
15.1%
4 86070
 
9.7%
5 69750
 
7.8%
1 49780
 
5.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 134372
15.1%
1 49780
 
5.6%
2 170564
19.1%
3 274885
30.8%
4 86070
 
9.7%
ValueCountFrequency (%)
5 69750
 
7.8%
4 86070
 
9.7%
3 274885
30.8%
2 170564
19.1%
1 49780
 
5.6%

KBA13_BJ_2009
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.453592405
Minimum0
Maximum5
Zeros101115
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:39.518932image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.448965335
Coefficient of variation (CV)0.5905485086
Kurtosis-0.7593634555
Mean2.453592405
Median Absolute Deviation (MAD)1
Skewness-0.1309785037
Sum1927103
Variance2.099500543
MonotonicityNot monotonic
2023-02-17T12:44:39.632925image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 286198
32.1%
1 119909
13.5%
2 118034
13.2%
0 101115
 
11.3%
4 88293
 
9.9%
5 71872
 
8.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 101115
 
11.3%
1 119909
13.5%
2 118034
13.2%
3 286198
32.1%
4 88293
 
9.9%
ValueCountFrequency (%)
5 71872
 
8.1%
4 88293
 
9.9%
3 286198
32.1%
2 118034
13.2%
1 119909
13.5%

KBA13_BMW
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.159221615
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:39.744623image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.000800768
Coefficient of variation (CV)0.3167871361
Kurtosis-0.2722905035
Mean3.159221615
Median Absolute Deviation (MAD)1
Skewness0.01318550687
Sum2481319
Variance1.001602177
MonotonicityNot monotonic
2023-02-17T12:44:39.854460image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 346193
38.8%
4 176871
19.8%
2 139903
15.7%
5 83249
 
9.3%
1 39205
 
4.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 39205
 
4.4%
2 139903
15.7%
3 346193
38.8%
4 176871
19.8%
5 83249
 
9.3%
ValueCountFrequency (%)
5 83249
 
9.3%
4 176871
19.8%
3 346193
38.8%
2 139903
15.7%
1 39205
 
4.4%

KBA13_CCM_0_1400
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.342429092
Minimum0
Maximum5
Zeros138711
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:39.977294image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.445696683
Coefficient of variation (CV)0.6171784189
Kurtosis-0.6857091243
Mean2.342429092
Median Absolute Deviation (MAD)1
Skewness-0.1666203199
Sum1839793
Variance2.090038901
MonotonicityNot monotonic
2023-02-17T12:44:40.085271image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 268319
30.1%
2 178378
20.0%
0 138711
15.6%
4 81885
 
9.2%
1 60025
 
6.7%
5 58103
 
6.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 138711
15.6%
1 60025
 
6.7%
2 178378
20.0%
3 268319
30.1%
4 81885
 
9.2%
ValueCountFrequency (%)
5 58103
 
6.5%
4 81885
 
9.2%
3 268319
30.1%
2 178378
20.0%
1 60025
 
6.7%

KBA13_CCM_1000
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.426497382
Minimum0
Maximum5
Zeros103227
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:40.742290image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.436357475
Coefficient of variation (CV)0.5919468474
Kurtosis-0.7466181288
Mean2.426497382
Median Absolute Deviation (MAD)1
Skewness-0.1360359797
Sum1905822
Variance2.063122797
MonotonicityNot monotonic
2023-02-17T12:44:40.854421image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 290316
32.6%
1 120040
13.5%
2 119210
13.4%
0 103227
 
11.6%
4 86726
 
9.7%
5 65902
 
7.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 103227
 
11.6%
1 120040
13.5%
2 119210
13.4%
3 290316
32.6%
4 86726
 
9.7%
ValueCountFrequency (%)
5 65902
 
7.4%
4 86726
 
9.7%
3 290316
32.6%
2 119210
13.4%
1 120040
13.5%

KBA13_CCM_1200
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.329705979
Minimum0
Maximum5
Zeros145802
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:40.959755image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.45957818
Coefficient of variation (CV)0.6265074619
Kurtosis-0.7400300325
Mean2.329705979
Median Absolute Deviation (MAD)1
Skewness-0.1848703145
Sum1829800
Variance2.130368464
MonotonicityNot monotonic
2023-02-17T12:44:41.088818image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 278653
31.3%
2 161690
18.1%
0 145802
16.4%
4 81631
 
9.2%
1 61072
 
6.9%
5 56573
 
6.3%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 145802
16.4%
1 61072
 
6.9%
2 161690
18.1%
3 278653
31.3%
4 81631
 
9.2%
ValueCountFrequency (%)
5 56573
 
6.3%
4 81631
 
9.2%
3 278653
31.3%
2 161690
18.1%
1 61072
 
6.9%

KBA13_CCM_1400
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.005170475
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:41.198710image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9427556246
Coefficient of variation (CV)0.3137111962
Kurtosis-0.1002809285
Mean3.005170475
Median Absolute Deviation (MAD)1
Skewness0.0466803668
Sum2360324
Variance0.8887881677
MonotonicityNot monotonic
2023-02-17T12:44:41.312813image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 362764
40.7%
2 169640
19.0%
4 161205
18.1%
5 49030
 
5.5%
1 42782
 
4.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 42782
 
4.8%
2 169640
19.0%
3 362764
40.7%
4 161205
18.1%
5 49030
 
5.5%
ValueCountFrequency (%)
5 49030
 
5.5%
4 161205
18.1%
3 362764
40.7%
2 169640
19.0%
1 42782
 
4.8%

KBA13_CCM_1401_2500
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.910120814
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:41.437145image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9450717165
Coefficient of variation (CV)0.3247534301
Kurtosis-0.1519754313
Mean2.910120814
Median Absolute Deviation (MAD)1
Skewness-0.06479961067
Sum2285670
Variance0.8931605493
MonotonicityNot monotonic
2023-02-17T12:44:41.550082image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 359093
40.3%
2 174525
19.6%
4 157962
17.7%
1 60428
 
6.8%
5 33413
 
3.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 60428
 
6.8%
2 174525
19.6%
3 359093
40.3%
4 157962
17.7%
5 33413
 
3.7%
ValueCountFrequency (%)
5 33413
 
3.7%
4 157962
17.7%
3 359093
40.3%
2 174525
19.6%
1 60428
 
6.8%

KBA13_CCM_1500
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.619311172
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:41.685406image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.419685148
Coefficient of variation (CV)0.5420070603
Kurtosis-1.453067672
Mean2.619311172
Median Absolute Deviation (MAD)1
Skewness0.1049282826
Sum2057262
Variance2.01550592
MonotonicityNot monotonic
2023-02-17T12:44:41.798875image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 287731
32.3%
4 206213
23.1%
3 156747
17.6%
5 68326
 
7.7%
2 66404
 
7.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 287731
32.3%
2 66404
 
7.5%
3 156747
17.6%
4 206213
23.1%
5 68326
 
7.7%
ValueCountFrequency (%)
5 68326
 
7.7%
4 206213
23.1%
3 156747
17.6%
2 66404
 
7.5%
1 287731
32.3%

KBA13_CCM_1600
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.029110503
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:41.928611image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9388705755
Coefficient of variation (CV)0.3099492656
Kurtosis-0.09678619446
Mean3.029110503
Median Absolute Deviation (MAD)1
Skewness0.06492293978
Sum2379127
Variance0.8814779576
MonotonicityNot monotonic
2023-02-17T12:44:42.046825image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 364222
40.9%
2 167171
18.8%
4 163429
18.3%
5 51951
 
5.8%
1 38648
 
4.3%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 38648
 
4.3%
2 167171
18.8%
3 364222
40.9%
4 163429
18.3%
5 51951
 
5.8%
ValueCountFrequency (%)
5 51951
 
5.8%
4 163429
18.3%
3 364222
40.9%
2 167171
18.8%
1 38648
 
4.3%

KBA13_CCM_1800
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.364000963
Minimum0
Maximum5
Zeros137534
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:42.173497image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43666166
Coefficient of variation (CV)0.6077246512
Kurtosis-0.6393064936
Mean2.364000963
Median Absolute Deviation (MAD)1
Skewness-0.202261127
Sum1856736
Variance2.063996726
MonotonicityNot monotonic
2023-02-17T12:44:42.280609image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 276578
31.0%
2 179863
20.2%
0 137534
15.4%
4 81550
 
9.2%
5 57795
 
6.5%
1 52101
 
5.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 137534
15.4%
1 52101
 
5.8%
2 179863
20.2%
3 276578
31.0%
4 81550
 
9.2%
ValueCountFrequency (%)
5 57795
 
6.5%
4 81550
 
9.2%
3 276578
31.0%
2 179863
20.2%
1 52101
 
5.8%

KBA13_CCM_2000
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071686395
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:42.386822image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9381931968
Coefficient of variation (CV)0.3054326113
Kurtosis-0.1198910189
Mean3.071686395
Median Absolute Deviation (MAD)1
Skewness0.07398909688
Sum2412567
Variance0.8802064745
MonotonicityNot monotonic
2023-02-17T12:44:42.495490image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 363131
40.7%
4 170342
19.1%
2 160922
18.1%
5 57234
 
6.4%
1 33792
 
3.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 33792
 
3.8%
2 160922
18.1%
3 363131
40.7%
4 170342
19.1%
5 57234
 
6.4%
ValueCountFrequency (%)
5 57234
 
6.4%
4 170342
19.1%
3 363131
40.7%
2 160922
18.1%
1 33792
 
3.8%

KBA13_CCM_2500
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.482918078
Minimum0
Maximum5
Zeros95350
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:42.617098image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.414942642
Coefficient of variation (CV)0.5698708525
Kurtosis-0.6372071175
Mean2.482918078
Median Absolute Deviation (MAD)1
Skewness-0.1527969444
Sum1950136
Variance2.00206268
MonotonicityNot monotonic
2023-02-17T12:44:42.721887image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 283932
31.9%
2 144530
16.2%
1 102470
 
11.5%
0 95350
 
10.7%
4 88885
 
10.0%
5 70254
 
7.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 95350
 
10.7%
1 102470
 
11.5%
2 144530
16.2%
3 283932
31.9%
4 88885
 
10.0%
ValueCountFrequency (%)
5 70254
 
7.9%
4 88885
 
10.0%
3 283932
31.9%
2 144530
16.2%
1 102470
 
11.5%

KBA13_CCM_2501
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.512177546
Minimum0
Maximum5
Zeros93403
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:42.824148image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.449422653
Coefficient of variation (CV)0.5769586849
Kurtosis-0.7464547057
Mean2.512177546
Median Absolute Deviation (MAD)1
Skewness-0.1598613993
Sum1973117
Variance2.100826027
MonotonicityNot monotonic
2023-02-17T12:44:42.937205image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 294765
33.1%
1 121797
13.7%
2 106344
 
11.9%
0 93403
 
10.5%
4 91223
 
10.2%
5 77889
 
8.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 93403
 
10.5%
1 121797
13.7%
2 106344
 
11.9%
3 294765
33.1%
4 91223
 
10.2%
ValueCountFrequency (%)
5 77889
 
8.7%
4 91223
 
10.2%
3 294765
33.1%
2 106344
 
11.9%
1 121797
13.7%

KBA13_CCM_3000
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.583847389
Minimum0
Maximum5
Zeros56562
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:43.039715image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.368104049
Coefficient of variation (CV)0.5294833026
Kurtosis-0.6566333737
Mean2.583847389
Median Absolute Deviation (MAD)1
Skewness-0.1149045324
Sum2029408
Variance1.871708689
MonotonicityNot monotonic
2023-02-17T12:44:43.147750image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 308099
34.6%
1 149271
16.7%
2 103136
 
11.6%
4 92197
 
10.3%
5 76156
 
8.5%
0 56562
 
6.3%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 56562
 
6.3%
1 149271
16.7%
2 103136
 
11.6%
3 308099
34.6%
4 92197
 
10.3%
ValueCountFrequency (%)
5 76156
 
8.5%
4 92197
 
10.3%
3 308099
34.6%
2 103136
 
11.6%
1 149271
16.7%

KBA13_CCM_3001
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.625874531
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:43.261729image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.511502049
Coefficient of variation (CV)0.5756185345
Kurtosis-1.586258599
Mean2.625874531
Median Absolute Deviation (MAD)2
Skewness0.08580921562
Sum2062417
Variance2.284638445
MonotonicityNot monotonic
2023-02-17T12:44:43.380035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 338439
38.0%
4 215760
24.2%
3 147448
16.5%
5 83682
 
9.4%
2 92
 
< 0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 338439
38.0%
2 92
 
< 0.1%
3 147448
16.5%
4 215760
24.2%
5 83682
 
9.4%
ValueCountFrequency (%)
5 83682
 
9.4%
4 215760
24.2%
3 147448
16.5%
2 92
 
< 0.1%
1 338439
38.0%

KBA13_FAB_ASIEN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.974636533
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:43.504887image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.017911283
Coefficient of variation (CV)0.3421968608
Kurtosis-0.2800479235
Mean2.974636533
Median Absolute Deviation (MAD)1
Skewness0.0392026561
Sum2336342
Variance1.036143381
MonotonicityNot monotonic
2023-02-17T12:44:43.615986image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 340870
38.2%
2 169019
19.0%
4 152278
17.1%
1 62422
 
7.0%
5 60832
 
6.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 62422
 
7.0%
2 169019
19.0%
3 340870
38.2%
4 152278
17.1%
5 60832
 
6.8%
ValueCountFrequency (%)
5 60832
 
6.8%
4 152278
17.1%
3 340870
38.2%
2 169019
19.0%
1 62422
 
7.0%

KBA13_FAB_SONSTIGE
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.988924411
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:43.751436image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008134932
Coefficient of variation (CV)0.3372902065
Kurtosis-0.249490373
Mean2.988924411
Median Absolute Deviation (MAD)1
Skewness0.0419679122
Sum2347564
Variance1.016336041
MonotonicityNot monotonic
2023-02-17T12:44:43.861823image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 345124
38.7%
2 167481
18.8%
4 153466
17.2%
5 61004
 
6.8%
1 58346
 
6.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 58346
 
6.5%
2 167481
18.8%
3 345124
38.7%
4 153466
17.2%
5 61004
 
6.8%
ValueCountFrequency (%)
5 61004
 
6.8%
4 153466
17.2%
3 345124
38.7%
2 167481
18.8%
1 58346
 
6.5%

KBA13_FIAT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.128779343
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:43.988901image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001765957
Coefficient of variation (CV)0.3201778863
Kurtosis-0.2841501036
Mean3.128779343
Median Absolute Deviation (MAD)1
Skewness0.0270094667
Sum2457409
Variance1.003535032
MonotonicityNot monotonic
2023-02-17T12:44:44.100944image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 343347
38.5%
4 174024
19.5%
2 148334
16.6%
5 78722
 
8.8%
1 40994
 
4.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 40994
 
4.6%
2 148334
16.6%
3 343347
38.5%
4 174024
19.5%
5 78722
 
8.8%
ValueCountFrequency (%)
5 78722
 
8.8%
4 174024
19.5%
3 343347
38.5%
2 148334
16.6%
1 40994
 
4.6%

KBA13_FORD
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.00405515
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:44.247580image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040266734
Coefficient of variation (CV)0.3462874955
Kurtosis-0.3381241267
Mean3.00405515
Median Absolute Deviation (MAD)1
Skewness0.02739859434
Sum2359448
Variance1.082154878
MonotonicityNot monotonic
2023-02-17T12:44:44.392628image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 335170
37.6%
2 162145
18.2%
4 154870
17.4%
5 69233
 
7.8%
1 64003
 
7.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 64003
 
7.2%
2 162145
18.2%
3 335170
37.6%
4 154870
17.4%
5 69233
 
7.8%
ValueCountFrequency (%)
5 69233
 
7.8%
4 154870
17.4%
3 335170
37.6%
2 162145
18.2%
1 64003
 
7.2%

KBA13_GBZ
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.419656464
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:44.516633image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.119775145
Coefficient of variation (CV)0.3274525254
Kurtosis-0.6608930065
Mean3.419656464
Median Absolute Deviation (MAD)1
Skewness-0.184296062
Sum2685870
Variance1.253896376
MonotonicityNot monotonic
2023-02-17T12:44:44.620353image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 284563
31.9%
4 184003
20.6%
5 167473
18.8%
2 109422
 
12.3%
1 39960
 
4.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 39960
 
4.5%
2 109422
 
12.3%
3 284563
31.9%
4 184003
20.6%
5 167473
18.8%
ValueCountFrequency (%)
5 167473
18.8%
4 184003
20.6%
3 284563
31.9%
2 109422
 
12.3%
1 39960
 
4.5%

KBA13_HALTER_20
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.909913282
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:44.747816image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001967599
Coefficient of variation (CV)0.3443290236
Kurtosis-0.2665768406
Mean2.909913282
Median Absolute Deviation (MAD)1
Skewness0.05825115053
Sum2285507
Variance1.00393907
MonotonicityNot monotonic
2023-02-17T12:44:44.863574image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 338233
38.0%
2 184872
20.7%
4 146416
16.4%
1 66025
 
7.4%
5 49875
 
5.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 66025
 
7.4%
2 184872
20.7%
3 338233
38.0%
4 146416
16.4%
5 49875
 
5.6%
ValueCountFrequency (%)
5 49875
 
5.6%
4 146416
16.4%
3 338233
38.0%
2 184872
20.7%
1 66025
 
7.4%

KBA13_HALTER_25
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.945091868
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:44.988450image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.036590893
Coefficient of variation (CV)0.3519723456
Kurtosis-0.3022451426
Mean2.945091868
Median Absolute Deviation (MAD)1
Skewness0.0316235401
Sum2313137
Variance1.074520679
MonotonicityNot monotonic
2023-02-17T12:44:45.096359image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 341430
38.3%
2 165111
18.5%
4 144771
16.2%
1 72751
 
8.2%
5 61358
 
6.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 72751
 
8.2%
2 165111
18.5%
3 341430
38.3%
4 144771
16.2%
5 61358
 
6.9%
ValueCountFrequency (%)
5 61358
 
6.9%
4 144771
16.2%
3 341430
38.3%
2 165111
18.5%
1 72751
 
8.2%

KBA13_HALTER_30
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.056838307
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:45.222401image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.089203736
Coefficient of variation (CV)0.3563170919
Kurtosis-0.4736772624
Mean3.056838307
Median Absolute Deviation (MAD)1
Skewness0.03439205225
Sum2400905
Variance1.186364778
MonotonicityNot monotonic
2023-02-17T12:44:45.328532image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 322185
36.2%
2 155663
17.5%
4 150541
16.9%
5 90957
 
10.2%
1 66075
 
7.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 66075
 
7.4%
2 155663
17.5%
3 322185
36.2%
4 150541
16.9%
5 90957
 
10.2%
ValueCountFrequency (%)
5 90957
 
10.2%
4 150541
16.9%
3 322185
36.2%
2 155663
17.5%
1 66075
 
7.4%

KBA13_HALTER_35
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.104942445
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:45.451377image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.105378306
Coefficient of variation (CV)0.3560060536
Kurtosis-0.5472090563
Mean3.104942445
Median Absolute Deviation (MAD)1
Skewness-0.001353135551
Sum2438687
Variance1.2218612
MonotonicityNot monotonic
2023-02-17T12:44:45.561538image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 309769
34.8%
4 160396
18.0%
2 151032
16.9%
5 100377
 
11.3%
1 63847
 
7.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 63847
 
7.2%
2 151032
16.9%
3 309769
34.8%
4 160396
18.0%
5 100377
 
11.3%
ValueCountFrequency (%)
5 100377
 
11.3%
4 160396
18.0%
3 309769
34.8%
2 151032
16.9%
1 63847
 
7.2%

KBA13_HALTER_40
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.089956851
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:45.684669image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.097061913
Coefficient of variation (CV)0.3550411755
Kurtosis-0.5177672606
Mean3.089956851
Median Absolute Deviation (MAD)1
Skewness0.003366132979
Sum2426917
Variance1.203544841
MonotonicityNot monotonic
2023-02-17T12:44:45.797704image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 313672
35.2%
4 159800
17.9%
2 151984
17.1%
5 95692
 
10.7%
1 64273
 
7.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 64273
 
7.2%
2 151984
17.1%
3 313672
35.2%
4 159800
17.9%
5 95692
 
10.7%
ValueCountFrequency (%)
5 95692
 
10.7%
4 159800
17.9%
3 313672
35.2%
2 151984
17.1%
1 64273
 
7.2%

KBA13_HALTER_45
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.027353483
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:45.919418image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.078912779
Coefficient of variation (CV)0.3563881076
Kurtosis-0.4629912815
Mean3.027353483
Median Absolute Deviation (MAD)1
Skewness0.005442423805
Sum2377747
Variance1.164052784
MonotonicityNot monotonic
2023-02-17T12:44:46.024104image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 318028
35.7%
4 160040
18.0%
2 158198
17.8%
5 79488
 
8.9%
1 69667
 
7.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 69667
 
7.8%
2 158198
17.8%
3 318028
35.7%
4 160040
18.0%
5 79488
 
8.9%
ValueCountFrequency (%)
5 79488
 
8.9%
4 160040
18.0%
3 318028
35.7%
2 158198
17.8%
1 69667
 
7.8%

KBA13_HALTER_50
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.844839901
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:46.158424image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053111532
Coefficient of variation (CV)0.3701830573
Kurtosis-0.3851539578
Mean2.844839901
Median Absolute Deviation (MAD)1
Skewness0.07705827172
Sum2234397
Variance1.109043899
MonotonicityNot monotonic
2023-02-17T12:44:46.276953image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 325071
36.5%
2 183530
20.6%
4 133612
15.0%
1 89591
 
10.1%
5 53617
 
6.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 89591
 
10.1%
2 183530
20.6%
3 325071
36.5%
4 133612
15.0%
5 53617
 
6.0%
ValueCountFrequency (%)
5 53617
 
6.0%
4 133612
15.0%
3 325071
36.5%
2 183530
20.6%
1 89591
 
10.1%

KBA13_HALTER_55
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.840151969
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:46.415863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062277003
Coefficient of variation (CV)0.3740211841
Kurtosis-0.4238710177
Mean2.840151969
Median Absolute Deviation (MAD)1
Skewness0.07484406265
Sum2230715
Variance1.12843243
MonotonicityNot monotonic
2023-02-17T12:44:46.527527image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 319411
35.8%
2 183685
20.6%
4 135541
15.2%
1 92743
 
10.4%
5 54041
 
6.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 92743
 
10.4%
2 183685
20.6%
3 319411
35.8%
4 135541
15.2%
5 54041
 
6.1%
ValueCountFrequency (%)
5 54041
 
6.1%
4 135541
15.2%
3 319411
35.8%
2 183685
20.6%
1 92743
 
10.4%

KBA13_HALTER_60
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.889782677
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:46.648727image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.073687401
Coefficient of variation (CV)0.3715460716
Kurtosis-0.4378300202
Mean2.889782677
Median Absolute Deviation (MAD)1
Skewness0.05181155877
Sum2269696
Variance1.152804636
MonotonicityNot monotonic
2023-02-17T12:44:46.762341image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 321266
36.0%
2 172974
19.4%
4 140907
15.8%
1 88762
 
10.0%
5 61512
 
6.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 88762
 
10.0%
2 172974
19.4%
3 321266
36.0%
4 140907
15.8%
5 61512
 
6.9%
ValueCountFrequency (%)
5 61512
 
6.9%
4 140907
15.8%
3 321266
36.0%
2 172974
19.4%
1 88762
 
10.0%

KBA13_HALTER_65
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.126903915
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:46.896059image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.044821999
Coefficient of variation (CV)0.3341394641
Kurtosis-0.3632632708
Mean3.126903915
Median Absolute Deviation (MAD)1
Skewness-0.03728899735
Sum2455936
Variance1.091653009
MonotonicityNot monotonic
2023-02-17T12:44:47.005007image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 331364
37.2%
4 175040
19.6%
2 140351
15.7%
5 85579
 
9.6%
1 53087
 
6.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 53087
 
6.0%
2 140351
15.7%
3 331364
37.2%
4 175040
19.6%
5 85579
 
9.6%
ValueCountFrequency (%)
5 85579
 
9.6%
4 175040
19.6%
3 331364
37.2%
2 140351
15.7%
1 53087
 
6.0%

KBA13_HALTER_66
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.103431153
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:47.128931image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.07510989
Coefficient of variation (CV)0.3464262093
Kurtosis-0.4366296464
Mean3.103431153
Median Absolute Deviation (MAD)1
Skewness-0.06653728119
Sum2437500
Variance1.155861276
MonotonicityNot monotonic
2023-02-17T12:44:47.243109image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 320451
36.0%
4 175161
19.7%
2 139386
15.6%
5 86577
 
9.7%
1 63846
 
7.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 63846
 
7.2%
2 139386
15.6%
3 320451
36.0%
4 175161
19.7%
5 86577
 
9.7%
ValueCountFrequency (%)
5 86577
 
9.7%
4 175161
19.7%
3 320451
36.0%
2 139386
15.6%
1 63846
 
7.2%

KBA13_HERST_ASIEN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.004370904
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:47.367109image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.03119335
Coefficient of variation (CV)0.3432310399
Kurtosis-0.3133049693
Mean3.004370904
Median Absolute Deviation (MAD)1
Skewness0.03072963553
Sum2359696
Variance1.063359724
MonotonicityNot monotonic
2023-02-17T12:44:47.479667image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 338074
37.9%
2 162979
18.3%
4 155084
17.4%
5 67474
 
7.6%
1 61810
 
6.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 61810
 
6.9%
2 162979
18.3%
3 338074
37.9%
4 155084
17.4%
5 67474
 
7.6%
ValueCountFrequency (%)
5 67474
 
7.6%
4 155084
17.4%
3 338074
37.9%
2 162979
18.3%
1 61810
 
6.9%

KBA13_HERST_AUDI_VW
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.924982907
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:47.609949image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.026814483
Coefficient of variation (CV)0.351049738
Kurtosis-0.315875946
Mean2.924982907
Median Absolute Deviation (MAD)1
Skewness0.02297034004
Sum2297343
Variance1.054347983
MonotonicityNot monotonic
2023-02-17T12:44:47.721004image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 336178
37.7%
2 172160
19.3%
4 149322
16.8%
1 72901
 
8.2%
5 54860
 
6.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 72901
 
8.2%
2 172160
19.3%
3 336178
37.7%
4 149322
16.8%
5 54860
 
6.2%
ValueCountFrequency (%)
5 54860
 
6.2%
4 149322
16.8%
3 336178
37.7%
2 172160
19.3%
1 72901
 
8.2%

KBA13_HERST_BMW_BENZ
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.165170017
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:47.848230image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022936535
Coefficient of variation (CV)0.3231853358
Kurtosis-0.3019088549
Mean3.165170017
Median Absolute Deviation (MAD)1
Skewness-0.03901745395
Sum2485991
Variance1.046399155
MonotonicityNot monotonic
2023-02-17T12:44:47.960398image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 339754
38.1%
4 180052
20.2%
2 133074
 
14.9%
5 86958
 
9.8%
1 45583
 
5.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 45583
 
5.1%
2 133074
 
14.9%
3 339754
38.1%
4 180052
20.2%
5 86958
 
9.8%
ValueCountFrequency (%)
5 86958
 
9.8%
4 180052
20.2%
3 339754
38.1%
2 133074
 
14.9%
1 45583
 
5.1%

KBA13_HERST_EUROPA
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.083780546
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:48.090829image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.013485243
Coefficient of variation (CV)0.3286502485
Kurtosis-0.285225135
Mean3.083780546
Median Absolute Deviation (MAD)1
Skewness0.001426402169
Sum2422066
Variance1.027152337
MonotonicityNot monotonic
2023-02-17T12:44:48.199050image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 341097
38.3%
4 170642
19.1%
2 151037
16.9%
5 72872
 
8.2%
1 49773
 
5.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 49773
 
5.6%
2 151037
16.9%
3 341097
38.3%
4 170642
19.1%
5 72872
 
8.2%
ValueCountFrequency (%)
5 72872
 
8.2%
4 170642
19.1%
3 341097
38.3%
2 151037
16.9%
1 49773
 
5.6%

KBA13_HERST_FORD_OPEL
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.966992225
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:48.329329image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.05817833
Coefficient of variation (CV)0.3566501865
Kurtosis-0.3972105569
Mean2.966992225
Median Absolute Deviation (MAD)1
Skewness0.01428388129
Sum2330338
Variance1.119741378
MonotonicityNot monotonic
2023-02-17T12:44:48.438836image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 326805
36.7%
2 164003
18.4%
4 154044
17.3%
1 74276
 
8.3%
5 66293
 
7.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 74276
 
8.3%
2 164003
18.4%
3 326805
36.7%
4 154044
17.3%
5 66293
 
7.4%
ValueCountFrequency (%)
5 66293
 
7.4%
4 154044
17.3%
3 326805
36.7%
2 164003
18.4%
1 74276
 
8.3%

KBA13_HERST_SONST
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.988924411
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:48.562602image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008134932
Coefficient of variation (CV)0.3372902065
Kurtosis-0.249490373
Mean2.988924411
Median Absolute Deviation (MAD)1
Skewness0.0419679122
Sum2347564
Variance1.016336041
MonotonicityNot monotonic
2023-02-17T12:44:48.675128image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 345124
38.7%
2 167481
18.8%
4 153466
17.2%
5 61004
 
6.8%
1 58346
 
6.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 58346
 
6.5%
2 167481
18.8%
3 345124
38.7%
4 153466
17.2%
5 61004
 
6.8%
ValueCountFrequency (%)
5 61004
 
6.8%
4 153466
17.2%
3 345124
38.7%
2 167481
18.8%
1 58346
 
6.5%

KBA13_HHZ
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.573068456
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:48.802031image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9780235791
Coefficient of variation (CV)0.2737209183
Kurtosis-0.5582166908
Mean3.573068456
Median Absolute Deviation (MAD)1
Skewness-0.080459908
Sum2806363
Variance0.9565301212
MonotonicityNot monotonic
2023-02-17T12:44:48.912615image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 319964
35.9%
4 212119
23.8%
5 168143
18.9%
2 72085
 
8.1%
1 13110
 
1.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 13110
 
1.5%
2 72085
 
8.1%
3 319964
35.9%
4 212119
23.8%
5 168143
18.9%
ValueCountFrequency (%)
5 168143
18.9%
4 212119
23.8%
3 319964
35.9%
2 72085
 
8.1%
1 13110
 
1.5%

KBA13_KMH_0_140
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.329368581
Minimum0
Maximum5
Zeros96010
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:49.032005image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.529004403
Coefficient of variation (CV)0.6564029479
Kurtosis-1.135330441
Mean2.329368581
Median Absolute Deviation (MAD)2
Skewness0.0449073815
Sum1829535
Variance2.337854465
MonotonicityNot monotonic
2023-02-17T12:44:49.139401image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 283566
31.8%
1 234424
26.3%
0 96010
 
10.8%
4 92670
 
10.4%
5 72077
 
8.1%
2 6674
 
0.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 96010
 
10.8%
1 234424
26.3%
2 6674
 
0.7%
3 283566
31.8%
4 92670
 
10.4%
ValueCountFrequency (%)
5 72077
 
8.1%
4 92670
 
10.4%
3 283566
31.8%
2 6674
 
0.7%
1 234424
26.3%

KBA13_KMH_110
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.32081266
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:49.250152image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6765354206
Coefficient of variation (CV)0.5122114901
Kurtosis1.673306755
Mean1.32081266
Median Absolute Deviation (MAD)0
Skewness1.830167801
Sum1037394
Variance0.4577001753
MonotonicityNot monotonic
2023-02-17T12:44:49.363926image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 627623
70.4%
3 94175
 
10.6%
2 63623
 
7.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 627623
70.4%
2 63623
 
7.1%
3 94175
 
10.6%
ValueCountFrequency (%)
3 94175
 
10.6%
2 63623
 
7.1%
1 627623
70.4%

KBA13_KMH_140
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.694809535
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:49.495564image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.39045331
Coefficient of variation (CV)0.5159746139
Kurtosis-1.371943159
Mean2.694809535
Median Absolute Deviation (MAD)1
Skewness0.05804321828
Sum2116560
Variance1.933360406
MonotonicityNot monotonic
2023-02-17T12:44:49.603705image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 249773
28.0%
4 202067
22.7%
3 167221
18.8%
2 91648
 
10.3%
5 74712
 
8.4%
(Missing) 105800
11.9%
ValueCountFrequency (%)
1 249773
28.0%
2 91648
 
10.3%
3 167221
18.8%
4 202067
22.7%
5 74712
 
8.4%
ValueCountFrequency (%)
5 74712
 
8.4%
4 202067
22.7%
3 167221
18.8%
2 91648
 
10.3%
1 249773
28.0%

KBA13_KMH_140_210
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.849392873
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:49.726890image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.971055401
Coefficient of variation (CV)0.3407937916
Kurtosis-0.141204956
Mean2.849392873
Median Absolute Deviation (MAD)1
Skewness0.003660951497
Sum2237973
Variance0.9429485918
MonotonicityNot monotonic
2023-02-17T12:44:49.837869image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 361405
40.6%
2 179354
20.1%
4 133192
 
14.9%
1 73767
 
8.3%
5 37703
 
4.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 73767
 
8.3%
2 179354
20.1%
3 361405
40.6%
4 133192
 
14.9%
5 37703
 
4.2%
ValueCountFrequency (%)
5 37703
 
4.2%
4 133192
 
14.9%
3 361405
40.6%
2 179354
20.1%
1 73767
 
8.3%

KBA13_KMH_180
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.932968433
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:49.961575image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9700283803
Coefficient of variation (CV)0.3307326356
Kurtosis-0.1700461121
Mean2.932968433
Median Absolute Deviation (MAD)1
Skewness-0.0246193374
Sum2303615
Variance0.9409550586
MonotonicityNot monotonic
2023-02-17T12:44:50.068439image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 355363
39.9%
2 170291
19.1%
4 155595
17.5%
1 61574
 
6.9%
5 42598
 
4.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 61574
 
6.9%
2 170291
19.1%
3 355363
39.9%
4 155595
17.5%
5 42598
 
4.8%
ValueCountFrequency (%)
5 42598
 
4.8%
4 155595
17.5%
3 355363
39.9%
2 170291
19.1%
1 61574
 
6.9%

KBA13_KMH_210
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.037302288
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:50.190149image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9559091031
Coefficient of variation (CV)0.3147230709
Kurtosis-0.1219089259
Mean3.037302288
Median Absolute Deviation (MAD)1
Skewness0.03738418775
Sum2385561
Variance0.9137622133
MonotonicityNot monotonic
2023-02-17T12:44:50.296582image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 361259
40.5%
4 164843
18.5%
2 161113
18.1%
5 55495
 
6.2%
1 42711
 
4.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 42711
 
4.8%
2 161113
18.1%
3 361259
40.5%
4 164843
18.5%
5 55495
 
6.2%
ValueCountFrequency (%)
5 55495
 
6.2%
4 164843
18.5%
3 361259
40.5%
2 161113
18.1%
1 42711
 
4.8%

KBA13_KMH_211
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.457977314
Minimum0
Maximum5
Zeros139463
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:50.415459image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4916275
Coefficient of variation (CV)0.6068516139
Kurtosis-0.691175133
Mean2.457977314
Median Absolute Deviation (MAD)1
Skewness-0.232285257
Sum1930547
Variance2.224952599
MonotonicityNot monotonic
2023-02-17T12:44:50.518703image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 277452
31.1%
2 162264
18.2%
0 139463
15.6%
4 88043
 
9.9%
5 75823
 
8.5%
1 42376
 
4.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 139463
15.6%
1 42376
 
4.8%
2 162264
18.2%
3 277452
31.1%
4 88043
 
9.9%
ValueCountFrequency (%)
5 75823
 
8.5%
4 88043
 
9.9%
3 277452
31.1%
2 162264
18.2%
1 42376
 
4.8%

KBA13_KMH_250
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.455954195
Minimum0
Maximum5
Zeros139756
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:50.623841image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.490853642
Coefficient of variation (CV)0.6070364198
Kurtosis-0.6912403951
Mean2.455954195
Median Absolute Deviation (MAD)1
Skewness-0.2340187255
Sum1928958
Variance2.222644582
MonotonicityNot monotonic
2023-02-17T12:44:50.728929image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 278290
31.2%
2 161652
18.1%
0 139756
15.7%
4 88055
 
9.9%
5 75224
 
8.4%
1 42444
 
4.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 139756
15.7%
1 42444
 
4.8%
2 161652
18.1%
3 278290
31.2%
4 88055
 
9.9%
ValueCountFrequency (%)
5 75224
 
8.4%
4 88055
 
9.9%
3 278290
31.2%
2 161652
18.1%
1 42444
 
4.8%

KBA13_KMH_251
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.268960214
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:50.834768image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6727979848
Coefficient of variation (CV)0.53019628
Kurtosis2.64996194
Mean1.268960214
Median Absolute Deviation (MAD)0
Skewness2.14211484
Sum996668
Variance0.4526571283
MonotonicityNot monotonic
2023-02-17T12:44:50.943761image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 674722
75.7%
3 100548
 
11.3%
2 10151
 
1.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 674722
75.7%
2 10151
 
1.1%
3 100548
 
11.3%
ValueCountFrequency (%)
3 100548
 
11.3%
2 10151
 
1.1%
1 674722
75.7%

KBA13_KRSAQUOT
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.866368483
Minimum0
Maximum5
Zeros60
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:51.061445image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.062771916
Coefficient of variation (CV)0.3707729561
Kurtosis-0.4226033777
Mean2.866368483
Median Absolute Deviation (MAD)1
Skewness0.02975234482
Sum2251306
Variance1.129484145
MonotonicityNot monotonic
2023-02-17T12:44:51.171467image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 324094
36.4%
2 172621
19.4%
4 142200
16.0%
1 91812
 
10.3%
5 54634
 
6.1%
0 60
 
< 0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 60
 
< 0.1%
1 91812
 
10.3%
2 172621
19.4%
3 324094
36.4%
4 142200
16.0%
ValueCountFrequency (%)
5 54634
 
6.1%
4 142200
16.0%
3 324094
36.4%
2 172621
19.4%
1 91812
 
10.3%

KBA13_KRSHERST_AUDI_VW
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.959943775
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:51.282367image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.01152282
Coefficient of variation (CV)0.3417371737
Kurtosis-0.296252122
Mean2.959943775
Median Absolute Deviation (MAD)1
Skewness-0.0169618502
Sum2324802
Variance1.023178416
MonotonicityNot monotonic
2023-02-17T12:44:51.394416image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 337010
37.8%
2 167559
18.8%
4 162124
18.2%
1 65798
 
7.4%
5 52872
 
5.9%
0 58
 
< 0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 58
 
< 0.1%
1 65798
 
7.4%
2 167559
18.8%
3 337010
37.8%
4 162124
18.2%
ValueCountFrequency (%)
5 52872
 
5.9%
4 162124
18.2%
3 337010
37.8%
2 167559
18.8%
1 65798
 
7.4%

KBA13_KRSHERST_BMW_BENZ
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.083095563
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:51.503144image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.009634881
Coefficient of variation (CV)0.3274744038
Kurtosis-0.2669559679
Mean3.083095563
Median Absolute Deviation (MAD)1
Skewness0.03062636879
Sum2421528
Variance1.019362593
MonotonicityNot monotonic
2023-02-17T12:44:51.612224image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 345264
38.7%
4 165044
18.5%
2 153245
17.2%
5 74315
 
8.3%
1 47495
 
5.3%
0 58
 
< 0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 58
 
< 0.1%
1 47495
 
5.3%
2 153245
17.2%
3 345264
38.7%
4 165044
18.5%
ValueCountFrequency (%)
5 74315
 
8.3%
4 165044
18.5%
3 345264
38.7%
2 153245
17.2%
1 47495
 
5.3%

KBA13_KRSHERST_FORD_OPEL
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.008965892
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:51.717203image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040945041
Coefficient of variation (CV)0.3459477702
Kurtosis-0.3612092944
Mean3.008965892
Median Absolute Deviation (MAD)1
Skewness-0.020214452
Sum2363305
Variance1.083566579
MonotonicityNot monotonic
2023-02-17T12:44:51.827286image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 329240
36.9%
4 166035
18.6%
2 158597
17.8%
1 65801
 
7.4%
5 65690
 
7.4%
0 58
 
< 0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 58
 
< 0.1%
1 65801
 
7.4%
2 158597
17.8%
3 329240
36.9%
4 166035
18.6%
ValueCountFrequency (%)
5 65690
 
7.4%
4 166035
18.6%
3 329240
36.9%
2 158597
17.8%
1 65801
 
7.4%

KBA13_KRSSEG_KLEIN
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.994526502
Minimum0
Maximum3
Zeros80
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:51.933512image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2926607486
Coefficient of variation (CV)0.1467319428
Kurtosis8.830096854
Mean1.994526502
Median Absolute Deviation (MAD)0
Skewness-0.1866264927
Sum1566543
Variance0.08565031376
MonotonicityNot monotonic
2023-02-17T12:44:52.035155image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 718366
80.6%
1 35557
 
4.0%
3 31418
 
3.5%
0 80
 
< 0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 80
 
< 0.1%
1 35557
 
4.0%
2 718366
80.6%
3 31418
 
3.5%
ValueCountFrequency (%)
3 31418
 
3.5%
2 718366
80.6%
1 35557
 
4.0%
0 80
 
< 0.1%

KBA13_KRSSEG_OBER
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.954656165
Minimum0
Maximum3
Zeros343
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:52.148635image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.584312681
Coefficient of variation (CV)0.2989337416
Kurtosis-0.04685040377
Mean1.954656165
Median Absolute Deviation (MAD)0
Skewness-0.007152325529
Sum1535228
Variance0.3414213092
MonotonicityNot monotonic
2023-02-17T12:44:52.250276image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 516676
58.0%
1 151665
 
17.0%
3 116737
 
13.1%
0 343
 
< 0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 343
 
< 0.1%
1 151665
 
17.0%
2 516676
58.0%
3 116737
 
13.1%
ValueCountFrequency (%)
3 116737
 
13.1%
2 516676
58.0%
1 151665
 
17.0%
0 343
 
< 0.1%

KBA13_KRSSEG_VAN
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.945300673
Minimum0
Maximum3
Zeros701
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:52.368215image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6154992743
Coefficient of variation (CV)0.316403157
Kurtosis-0.3088564042
Mean1.945300673
Median Absolute Deviation (MAD)0
Skewness0.00976066959
Sum1527880
Variance0.3788393567
MonotonicityNot monotonic
2023-02-17T12:44:52.468944image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 487626
54.7%
1 169327
 
19.0%
3 127767
 
14.3%
0 701
 
0.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 701
 
0.1%
1 169327
 
19.0%
2 487626
54.7%
3 127767
 
14.3%
ValueCountFrequency (%)
3 127767
 
14.3%
2 487626
54.7%
1 169327
 
19.0%
0 701
 
0.1%

KBA13_KRSZUL_NEU
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.832945643
Minimum0
Maximum3
Zeros31337
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:52.581641image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7811088614
Coefficient of variation (CV)0.4261494957
Kurtosis-0.4487529293
Mean1.832945643
Median Absolute Deviation (MAD)1
Skewness-0.2014526013
Sum1439634
Variance0.6101310534
MonotonicityNot monotonic
2023-02-17T12:44:52.685361image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 378304
42.4%
1 222157
24.9%
3 153623
17.2%
0 31337
 
3.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 31337
 
3.5%
1 222157
24.9%
2 378304
42.4%
3 153623
17.2%
ValueCountFrequency (%)
3 153623
17.2%
2 378304
42.4%
1 222157
24.9%
0 31337
 
3.5%

KBA13_KW_0_60
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.977746966
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:52.812027image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9681799624
Coefficient of variation (CV)0.3251384262
Kurtosis-0.1479921158
Mean2.977746966
Median Absolute Deviation (MAD)1
Skewness-0.004477006897
Sum2338785
Variance0.9373724396
MonotonicityNot monotonic
2023-02-17T12:44:52.930820image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 357321
40.1%
2 165557
18.6%
4 159703
17.9%
1 54326
 
6.1%
5 48514
 
5.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 54326
 
6.1%
2 165557
18.6%
3 357321
40.1%
4 159703
17.9%
5 48514
 
5.4%
ValueCountFrequency (%)
5 48514
 
5.4%
4 159703
17.9%
3 357321
40.1%
2 165557
18.6%
1 54326
 
6.1%

KBA13_KW_110
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.404902594
Minimum0
Maximum5
Zeros124216
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:53.050557image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.429197979
Coefficient of variation (CV)0.5942851834
Kurtosis-0.6151255069
Mean2.404902594
Median Absolute Deviation (MAD)1
Skewness-0.1867778177
Sum1888861
Variance2.042606863
MonotonicityNot monotonic
2023-02-17T12:44:53.155906image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 275679
30.9%
2 175418
19.7%
0 124216
13.9%
4 83780
 
9.4%
1 63943
 
7.2%
5 62385
 
7.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 124216
13.9%
1 63943
 
7.2%
2 175418
19.7%
3 275679
30.9%
4 83780
 
9.4%
ValueCountFrequency (%)
5 62385
 
7.0%
4 83780
 
9.4%
3 275679
30.9%
2 175418
19.7%
1 63943
 
7.2%

KBA13_KW_120
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.376123124
Minimum0
Maximum5
Zeros85028
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:53.261412image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.505369925
Coefficient of variation (CV)0.6335403707
Kurtosis-1.085804921
Mean2.376123124
Median Absolute Deviation (MAD)1
Skewness0.02742583434
Sum1866257
Variance2.26613861
MonotonicityNot monotonic
2023-02-17T12:44:53.368465image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 281415
31.6%
1 226709
25.4%
4 94774
 
10.6%
0 85028
 
9.5%
5 73739
 
8.3%
2 23756
 
2.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 85028
 
9.5%
1 226709
25.4%
2 23756
 
2.7%
3 281415
31.6%
4 94774
 
10.6%
ValueCountFrequency (%)
5 73739
 
8.3%
4 94774
 
10.6%
3 281415
31.6%
2 23756
 
2.7%
1 226709
25.4%

KBA13_KW_121
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.506342458
Minimum0
Maximum5
Zeros95195
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:53.474445image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.437424207
Coefficient of variation (CV)0.5735146857
Kurtosis-0.6820698445
Mean2.506342458
Median Absolute Deviation (MAD)1
Skewness-0.1469732264
Sum1968534
Variance2.066188352
MonotonicityNot monotonic
2023-02-17T12:44:53.589692image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 282845
31.7%
2 135033
15.2%
1 105706
 
11.9%
0 95195
 
10.7%
4 88983
 
10.0%
5 77659
 
8.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 95195
 
10.7%
1 105706
 
11.9%
2 135033
15.2%
3 282845
31.7%
4 88983
 
10.0%
ValueCountFrequency (%)
5 77659
 
8.7%
4 88983
 
10.0%
3 282845
31.7%
2 135033
15.2%
1 105706
 
11.9%

KBA13_KW_30
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean1.404982805
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:53.698640image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6811057132
Coefficient of variation (CV)0.4847786824
Kurtosis0.546694219
Mean1.404982805
Median Absolute Deviation (MAD)0
Skewness1.404384136
Sum1103503
Variance0.4639049926
MonotonicityNot monotonic
2023-02-17T12:44:53.806605image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 554887
62.3%
2 142986
 
16.0%
3 87548
 
9.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 554887
62.3%
2 142986
 
16.0%
3 87548
 
9.8%
ValueCountFrequency (%)
3 87548
 
9.8%
2 142986
 
16.0%
1 554887
62.3%

KBA13_KW_40
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.405065564
Minimum0
Maximum5
Zeros99260
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:53.922935image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.412106484
Coefficient of variation (CV)0.5871384571
Kurtosis-0.7035299729
Mean2.405065564
Median Absolute Deviation (MAD)1
Skewness-0.1112622062
Sum1888989
Variance1.994044723
MonotonicityNot monotonic
2023-02-17T12:44:54.037235image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 283084
31.8%
2 135456
15.2%
1 121060
13.6%
0 99260
 
11.1%
4 85040
 
9.5%
5 61521
 
6.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 99260
 
11.1%
1 121060
13.6%
2 135456
15.2%
3 283084
31.8%
4 85040
 
9.5%
ValueCountFrequency (%)
5 61521
 
6.9%
4 85040
 
9.5%
3 283084
31.8%
2 135456
15.2%
1 121060
13.6%

KBA13_KW_50
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.340691171
Minimum0
Maximum5
Zeros143215
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:54.141046image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.441927482
Coefficient of variation (CV)0.6160263686
Kurtosis-0.6654361611
Mean2.340691171
Median Absolute Deviation (MAD)1
Skewness-0.1965794704
Sum1838428
Variance2.079154863
MonotonicityNot monotonic
2023-02-17T12:44:54.246836image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 273920
30.7%
2 181545
20.4%
0 143215
16.1%
4 81007
 
9.1%
5 55954
 
6.3%
1 49780
 
5.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 143215
16.1%
1 49780
 
5.6%
2 181545
20.4%
3 273920
30.7%
4 81007
 
9.1%
ValueCountFrequency (%)
5 55954
 
6.3%
4 81007
 
9.1%
3 273920
30.7%
2 181545
20.4%
1 49780
 
5.6%

KBA13_KW_60
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.291350753
Minimum0
Maximum5
Zeros132144
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:54.350549image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.411953977
Coefficient of variation (CV)0.6162103181
Kurtosis-0.6772758285
Mean2.291350753
Median Absolute Deviation (MAD)1
Skewness-0.1356137415
Sum1799675
Variance1.993614032
MonotonicityNot monotonic
2023-02-17T12:44:54.460411image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 267832
30.1%
2 178524
20.0%
0 132144
14.8%
1 79264
 
8.9%
4 78418
 
8.8%
5 49239
 
5.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 132144
14.8%
1 79264
 
8.9%
2 178524
20.0%
3 267832
30.1%
4 78418
 
8.8%
ValueCountFrequency (%)
5 49239
 
5.5%
4 78418
 
8.8%
3 267832
30.1%
2 178524
20.0%
1 79264
 
8.9%

KBA13_KW_61_120
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.996188032
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:54.569119image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.957387381
Coefficient of variation (CV)0.3195351463
Kurtosis-0.1183664025
Mean2.996188032
Median Absolute Deviation (MAD)1
Skewness0.00901129231
Sum2353269
Variance0.9165905973
MonotonicityNot monotonic
2023-02-17T12:44:54.677125image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 360881
40.5%
2 164699
18.5%
4 161381
18.1%
5 49311
 
5.5%
1 49149
 
5.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 49149
 
5.5%
2 164699
18.5%
3 360881
40.5%
4 161381
18.1%
5 49311
 
5.5%
ValueCountFrequency (%)
5 49311
 
5.5%
4 161381
18.1%
3 360881
40.5%
2 164699
18.5%
1 49149
 
5.5%

KBA13_KW_70
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.336340638
Minimum0
Maximum5
Zeros141548
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:54.796337image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43027192
Coefficient of variation (CV)0.612184669
Kurtosis-0.6384107083
Mean2.336340638
Median Absolute Deviation (MAD)1
Skewness-0.2016039605
Sum1835011
Variance2.045677765
MonotonicityNot monotonic
2023-02-17T12:44:54.915079image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 276717
31.0%
2 184387
20.7%
0 141548
15.9%
4 78915
 
8.9%
5 54143
 
6.1%
1 49711
 
5.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 141548
15.9%
1 49711
 
5.6%
2 184387
20.7%
3 276717
31.0%
4 78915
 
8.9%
ValueCountFrequency (%)
5 54143
 
6.1%
4 78915
 
8.9%
3 276717
31.0%
2 184387
20.7%
1 49711
 
5.6%

KBA13_KW_80
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.310013356
Minimum0
Maximum5
Zeros129268
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:55.023609image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.410660844
Coefficient of variation (CV)0.6106721593
Kurtosis-0.6506222787
Mean2.310013356
Median Absolute Deviation (MAD)1
Skewness-0.1381494907
Sum1814333
Variance1.989964017
MonotonicityNot monotonic
2023-02-17T12:44:55.129735image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 269221
30.2%
2 180524
20.3%
0 129268
14.5%
4 77562
 
8.7%
1 77214
 
8.7%
5 51632
 
5.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 129268
14.5%
1 77214
 
8.7%
2 180524
20.3%
3 269221
30.2%
4 77562
 
8.7%
ValueCountFrequency (%)
5 51632
 
5.8%
4 77562
 
8.7%
3 269221
30.2%
2 180524
20.3%
1 77214
 
8.7%

KBA13_KW_90
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.382883829
Minimum0
Maximum5
Zeros133326
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:55.239980image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.43007608
Coefficient of variation (CV)0.6001451108
Kurtosis-0.6102998176
Mean2.382883829
Median Absolute Deviation (MAD)1
Skewness-0.2104813536
Sum1871567
Variance2.045117594
MonotonicityNot monotonic
2023-02-17T12:44:55.351928image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 277407
31.1%
2 181685
20.4%
0 133326
15.0%
4 82747
 
9.3%
5 58683
 
6.6%
1 51573
 
5.8%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 133326
15.0%
1 51573
 
5.8%
2 181685
20.4%
3 277407
31.1%
4 82747
 
9.3%
ValueCountFrequency (%)
5 58683
 
6.6%
4 82747
 
9.3%
3 277407
31.1%
2 181685
20.4%
1 51573
 
5.8%

KBA13_MAZDA
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.085354224
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:55.463531image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9999305686
Coefficient of variation (CV)0.3240893901
Kurtosis-0.2732084853
Mean3.085354224
Median Absolute Deviation (MAD)1
Skewness0.03833379357
Sum2423302
Variance0.999861142
MonotonicityNot monotonic
2023-02-17T12:44:55.575159image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 343060
38.5%
4 169148
19.0%
2 156989
17.6%
5 71832
 
8.1%
1 44392
 
5.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 44392
 
5.0%
2 156989
17.6%
3 343060
38.5%
4 169148
19.0%
5 71832
 
8.1%
ValueCountFrequency (%)
5 71832
 
8.1%
4 169148
19.0%
3 343060
38.5%
2 156989
17.6%
1 44392
 
5.0%

KBA13_MERCEDES
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.144134165
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:55.702851image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.023847419
Coefficient of variation (CV)0.3256373187
Kurtosis-0.2915446887
Mean3.144134165
Median Absolute Deviation (MAD)1
Skewness-0.04624485669
Sum2469469
Variance1.048263538
MonotonicityNot monotonic
2023-02-17T12:44:55.816466image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 340379
38.2%
4 178995
20.1%
2 134513
 
15.1%
5 82948
 
9.3%
1 48586
 
5.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 48586
 
5.5%
2 134513
 
15.1%
3 340379
38.2%
4 178995
20.1%
5 82948
 
9.3%
ValueCountFrequency (%)
5 82948
 
9.3%
4 178995
20.1%
3 340379
38.2%
2 134513
 
15.1%
1 48586
 
5.5%

KBA13_MOTOR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.786029403
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:55.945765image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7684956746
Coefficient of variation (CV)0.2758390395
Kurtosis0.3636586994
Mean2.786029403
Median Absolute Deviation (MAD)0
Skewness-0.6765501448
Sum2188206
Variance0.5905856019
MonotonicityNot monotonic
2023-02-17T12:44:56.044222image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 474886
53.3%
2 144655
 
16.2%
4 102786
 
11.5%
1 63094
 
7.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 63094
 
7.1%
2 144655
 
16.2%
3 474886
53.3%
4 102786
 
11.5%
ValueCountFrequency (%)
4 102786
 
11.5%
3 474886
53.3%
2 144655
 
16.2%
1 63094
 
7.1%

KBA13_NISSAN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.060305238
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:56.152580image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.018649556
Coefficient of variation (CV)0.3328588088
Kurtosis-0.3198890741
Mean3.060305238
Median Absolute Deviation (MAD)1
Skewness0.02542864259
Sum2403628
Variance1.037646918
MonotonicityNot monotonic
2023-02-17T12:44:56.267777image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 335457
37.6%
4 167124
18.8%
2 160213
18.0%
5 71427
 
8.0%
1 51200
 
5.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 51200
 
5.7%
2 160213
18.0%
3 335457
37.6%
4 167124
18.8%
5 71427
 
8.0%
ValueCountFrequency (%)
5 71427
 
8.0%
4 167124
18.8%
3 335457
37.6%
2 160213
18.0%
1 51200
 
5.7%

KBA13_OPEL
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.971934797
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:56.395261image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.054774458
Coefficient of variation (CV)0.354911709
Kurtosis-0.3888872585
Mean2.971934797
Median Absolute Deviation (MAD)1
Skewness0.01530471319
Sum2334220
Variance1.112549157
MonotonicityNot monotonic
2023-02-17T12:44:56.505265image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 327618
36.8%
2 164244
18.4%
4 154681
17.4%
1 72559
 
8.1%
5 66319
 
7.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 72559
 
8.1%
2 164244
18.4%
3 327618
36.8%
4 154681
17.4%
5 66319
 
7.4%
ValueCountFrequency (%)
5 66319
 
7.4%
4 154681
17.4%
3 327618
36.8%
2 164244
18.4%
1 72559
 
8.1%

KBA13_PEUGEOT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071690215
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:56.631621image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.009348941
Coefficient of variation (CV)0.3285972448
Kurtosis-0.2810327462
Mean3.071690215
Median Absolute Deviation (MAD)1
Skewness0.005979796258
Sum2412570
Variance1.018785286
MonotonicityNot monotonic
2023-02-17T12:44:56.741635image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 340805
38.2%
4 170378
19.1%
2 154373
17.3%
5 70008
 
7.9%
1 49857
 
5.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 49857
 
5.6%
2 154373
17.3%
3 340805
38.2%
4 170378
19.1%
5 70008
 
7.9%
ValueCountFrequency (%)
5 70008
 
7.9%
4 170378
19.1%
3 340805
38.2%
2 154373
17.3%
1 49857
 
5.6%

KBA13_RENAULT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.043497691
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:56.873695image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.023269502
Coefficient of variation (CV)0.3362149755
Kurtosis-0.3172444644
Mean3.043497691
Median Absolute Deviation (MAD)1
Skewness0.02578168102
Sum2390427
Variance1.047080473
MonotonicityNot monotonic
2023-02-17T12:44:56.985035image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 336384
37.7%
4 163307
18.3%
2 160781
18.0%
5 70384
 
7.9%
1 54565
 
6.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 54565
 
6.1%
2 160781
18.0%
3 336384
37.7%
4 163307
18.3%
5 70384
 
7.9%
ValueCountFrequency (%)
5 70384
 
7.9%
4 163307
18.3%
3 336384
37.7%
2 160781
18.0%
1 54565
 
6.1%

KBA13_SEG_GELAENDEWAGEN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.910411104
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:57.118651image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.00128961
Coefficient of variation (CV)0.3440371735
Kurtosis-0.2354138036
Mean2.910411104
Median Absolute Deviation (MAD)1
Skewness0.04496522077
Sum2285898
Variance1.002580883
MonotonicityNot monotonic
2023-02-17T12:44:57.236537image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 345193
38.7%
2 178645
20.0%
4 143742
16.1%
1 67786
 
7.6%
5 50055
 
5.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 67786
 
7.6%
2 178645
20.0%
3 345193
38.7%
4 143742
16.1%
5 50055
 
5.6%
ValueCountFrequency (%)
5 50055
 
5.6%
4 143742
16.1%
3 345193
38.7%
2 178645
20.0%
1 67786
 
7.6%

KBA13_SEG_GROSSRAUMVANS
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.0763756
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:57.362586image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.013363044
Coefficient of variation (CV)0.3294015997
Kurtosis-0.2866336078
Mean3.0763756
Median Absolute Deviation (MAD)1
Skewness0.003810624845
Sum2416250
Variance1.026904659
MonotonicityNot monotonic
2023-02-17T12:44:58.122180image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 340642
38.2%
4 169944
19.1%
2 152717
17.1%
5 71749
 
8.1%
1 50369
 
5.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 50369
 
5.7%
2 152717
17.1%
3 340642
38.2%
4 169944
19.1%
5 71749
 
8.1%
ValueCountFrequency (%)
5 71749
 
8.1%
4 169944
19.1%
3 340642
38.2%
2 152717
17.1%
1 50369
 
5.7%

KBA13_SEG_KLEINST
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.989147222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:58.245111image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.027774689
Coefficient of variation (CV)0.3438354194
Kurtosis-0.3105633099
Mean2.989147222
Median Absolute Deviation (MAD)1
Skewness0.0035994102
Sum2347739
Variance1.05632081
MonotonicityNot monotonic
2023-02-17T12:44:58.359023image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 337591
37.9%
2 161954
18.2%
4 158570
17.8%
1 64938
 
7.3%
5 62368
 
7.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 64938
 
7.3%
2 161954
18.2%
3 337591
37.9%
4 158570
17.8%
5 62368
 
7.0%
ValueCountFrequency (%)
5 62368
 
7.0%
4 158570
17.8%
3 337591
37.9%
2 161954
18.2%
1 64938
 
7.3%

KBA13_SEG_KLEINWAGEN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.945590963
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:58.486711image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.016326004
Coefficient of variation (CV)0.3450329718
Kurtosis-0.2799374875
Mean2.945590963
Median Absolute Deviation (MAD)1
Skewness0.007787052256
Sum2313529
Variance1.032918546
MonotonicityNot monotonic
2023-02-17T12:44:58.594166image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 341514
38.3%
2 167806
18.8%
4 152870
17.2%
1 68565
 
7.7%
5 54666
 
6.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 68565
 
7.7%
2 167806
18.8%
3 341514
38.3%
4 152870
17.2%
5 54666
 
6.1%
ValueCountFrequency (%)
5 54666
 
6.1%
4 152870
17.2%
3 341514
38.3%
2 167806
18.8%
1 68565
 
7.7%

KBA13_SEG_KOMPAKTKLASSE
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.950019162
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:58.718147image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.017613686
Coefficient of variation (CV)0.3449515511
Kurtosis-0.2556275617
Mean2.950019162
Median Absolute Deviation (MAD)1
Skewness0.06779764668
Sum2317007
Variance1.035537613
MonotonicityNot monotonic
2023-02-17T12:44:58.830368image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 344398
38.6%
2 173314
19.4%
4 142952
16.0%
1 64602
 
7.2%
5 60155
 
6.7%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 64602
 
7.2%
2 173314
19.4%
3 344398
38.6%
4 142952
16.0%
5 60155
 
6.7%
ValueCountFrequency (%)
5 60155
 
6.7%
4 142952
16.0%
3 344398
38.6%
2 173314
19.4%
1 64602
 
7.2%

KBA13_SEG_MINIVANS
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.019059842
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:58.955520image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.015220344
Coefficient of variation (CV)0.3362703613
Kurtosis-0.2773302807
Mean3.019059842
Median Absolute Deviation (MAD)1
Skewness0.02161412212
Sum2371233
Variance1.030672346
MonotonicityNot monotonic
2023-02-17T12:44:59.072531image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 341862
38.4%
2 161436
18.1%
4 160044
18.0%
5 65130
 
7.3%
1 56949
 
6.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 56949
 
6.4%
2 161436
18.1%
3 341862
38.4%
4 160044
18.0%
5 65130
 
7.3%
ValueCountFrequency (%)
5 65130
 
7.3%
4 160044
18.0%
3 341862
38.4%
2 161436
18.1%
1 56949
 
6.4%

KBA13_SEG_MINIWAGEN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.117098983
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:59.198186image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.011775398
Coefficient of variation (CV)0.3245887935
Kurtosis-0.2952355287
Mean3.117098983
Median Absolute Deviation (MAD)1
Skewness-0.004778260809
Sum2448235
Variance1.023689456
MonotonicityNot monotonic
2023-02-17T12:44:59.307913image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 339598
38.1%
4 176093
19.8%
2 146739
16.5%
5 77150
 
8.7%
1 45841
 
5.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 45841
 
5.1%
2 146739
16.5%
3 339598
38.1%
4 176093
19.8%
5 77150
 
8.7%
ValueCountFrequency (%)
5 77150
 
8.7%
4 176093
19.8%
3 339598
38.1%
2 146739
16.5%
1 45841
 
5.1%

KBA13_SEG_MITTELKLASSE
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.05885506
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:59.433062image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.026027661
Coefficient of variation (CV)0.3354286625
Kurtosis-0.3186655989
Mean3.05885506
Median Absolute Deviation (MAD)1
Skewness0.01975961955
Sum2402489
Variance1.052732762
MonotonicityNot monotonic
2023-02-17T12:44:59.540798image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 337241
37.8%
4 164192
18.4%
2 156862
17.6%
5 73287
 
8.2%
1 53839
 
6.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 53839
 
6.0%
2 156862
17.6%
3 337241
37.8%
4 164192
18.4%
5 73287
 
8.2%
ValueCountFrequency (%)
5 73287
 
8.2%
4 164192
18.4%
3 337241
37.8%
2 156862
17.6%
1 53839
 
6.0%
Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.16138224
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:59.666548image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.009668645
Coefficient of variation (CV)0.3193756933
Kurtosis-0.2652926601
Mean3.16138224
Median Absolute Deviation (MAD)1
Skewness-0.04729643046
Sum2483016
Variance1.019430772
MonotonicityNot monotonic
2023-02-17T12:44:59.776034image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 342284
38.4%
4 184285
20.7%
2 132852
 
14.9%
5 81830
 
9.2%
1 44170
 
5.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 44170
 
5.0%
2 132852
 
14.9%
3 342284
38.4%
4 184285
20.7%
5 81830
 
9.2%
ValueCountFrequency (%)
5 81830
 
9.2%
4 184285
20.7%
3 342284
38.4%
2 132852
 
14.9%
1 44170
 
5.0%

KBA13_SEG_OBERKLASSE
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.496482778
Minimum0
Maximum5
Zeros86270
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:44:59.899767image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.479815703
Coefficient of variation (CV)0.592760229
Kurtosis-0.8873647102
Mean2.496482778
Median Absolute Deviation (MAD)1
Skewness-0.08086214335
Sum1960790
Variance2.189854516
MonotonicityNot monotonic
2023-02-17T12:45:00.011686image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 283488
31.8%
1 157682
17.7%
4 91369
 
10.3%
0 86270
 
9.7%
5 84648
 
9.5%
2 81964
 
9.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 86270
 
9.7%
1 157682
17.7%
2 81964
 
9.2%
3 283488
31.8%
4 91369
 
10.3%
ValueCountFrequency (%)
5 84648
 
9.5%
4 91369
 
10.3%
3 283488
31.8%
2 81964
 
9.2%
1 157682
17.7%

KBA13_SEG_SONSTIGE
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071439394
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:00.123026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9634001073
Coefficient of variation (CV)0.313664046
Kurtosis-0.2084499485
Mean3.071439394
Median Absolute Deviation (MAD)1
Skewness0.105852725
Sum2412373
Variance0.9281397668
MonotonicityNot monotonic
2023-02-17T12:45:00.233245image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 352268
39.5%
2 167674
18.8%
4 165534
18.6%
5 64535
 
7.2%
1 35410
 
4.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 35410
 
4.0%
2 167674
18.8%
3 352268
39.5%
4 165534
18.6%
5 64535
 
7.2%
ValueCountFrequency (%)
5 64535
 
7.2%
4 165534
18.6%
3 352268
39.5%
2 167674
18.8%
1 35410
 
4.0%

KBA13_SEG_SPORTWAGEN
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.566941806
Minimum0
Maximum5
Zeros83421
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:00.352225image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.437284235
Coefficient of variation (CV)0.5599208487
Kurtosis-0.6774174457
Mean2.566941806
Median Absolute Deviation (MAD)1
Skewness-0.1182886889
Sum2016130
Variance2.065785971
MonotonicityNot monotonic
2023-02-17T12:45:00.458354image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 267922
30.1%
2 146930
16.5%
1 106267
 
11.9%
4 92168
 
10.3%
5 88713
 
10.0%
0 83421
 
9.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 83421
 
9.4%
1 106267
 
11.9%
2 146930
16.5%
3 267922
30.1%
4 92168
 
10.3%
ValueCountFrequency (%)
5 88713
 
10.0%
4 92168
 
10.3%
3 267922
30.1%
2 146930
16.5%
1 106267
 
11.9%

KBA13_SEG_UTILITIES
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.016090734
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:00.574378image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9987008987
Coefficient of variation (CV)0.3311242887
Kurtosis-0.236473804
Mean3.016090734
Median Absolute Deviation (MAD)1
Skewness0.03135281726
Sum2368901
Variance0.9974034852
MonotonicityNot monotonic
2023-02-17T12:45:00.687068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 346456
38.9%
2 164012
18.4%
4 160080
18.0%
5 61579
 
6.9%
1 53294
 
6.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 53294
 
6.0%
2 164012
18.4%
3 346456
38.9%
4 160080
18.0%
5 61579
 
6.9%
ValueCountFrequency (%)
5 61579
 
6.9%
4 160080
18.0%
3 346456
38.9%
2 164012
18.4%
1 53294
 
6.0%

KBA13_SEG_VAN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.047091942
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:00.819052image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.011614965
Coefficient of variation (CV)0.3319935808
Kurtosis-0.2780181596
Mean3.047091942
Median Absolute Deviation (MAD)1
Skewness0.01287845449
Sum2393250
Variance1.023364837
MonotonicityNot monotonic
2023-02-17T12:45:00.933709image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 341438
38.3%
4 165710
18.6%
2 157763
17.7%
5 67515
 
7.6%
1 52995
 
5.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 52995
 
5.9%
2 157763
17.7%
3 341438
38.3%
4 165710
18.6%
5 67515
 
7.6%
ValueCountFrequency (%)
5 67515
 
7.6%
4 165710
18.6%
3 341438
38.3%
2 157763
17.7%
1 52995
 
5.9%

KBA13_SEG_WOHNMOBILE
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.538732731
Minimum0
Maximum5
Zeros85796
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:01.059771image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4113662
Coefficient of variation (CV)0.5559333531
Kurtosis-0.5925733501
Mean2.538732731
Median Absolute Deviation (MAD)1
Skewness-0.1201331485
Sum1993974
Variance1.991954549
MonotonicityNot monotonic
2023-02-17T12:45:01.166888image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 269140
30.2%
2 165205
18.5%
1 95326
 
10.7%
4 88952
 
10.0%
0 85796
 
9.6%
5 81002
 
9.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 85796
 
9.6%
1 95326
 
10.7%
2 165205
18.5%
3 269140
30.2%
4 88952
 
10.0%
ValueCountFrequency (%)
5 81002
 
9.1%
4 88952
 
10.0%
3 269140
30.2%
2 165205
18.5%
1 95326
 
10.7%

KBA13_SITZE_4
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.170896882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:01.277058image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053637274
Coefficient of variation (CV)0.3322836766
Kurtosis-0.3741859454
Mean3.170896882
Median Absolute Deviation (MAD)1
Skewness-0.07752814291
Sum2490489
Variance1.110151505
MonotonicityNot monotonic
2023-02-17T12:45:01.396704image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 328454
36.9%
4 181695
20.4%
2 129303
 
14.5%
5 93443
 
10.5%
1 52526
 
5.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 52526
 
5.9%
2 129303
 
14.5%
3 328454
36.9%
4 181695
20.4%
5 93443
 
10.5%
ValueCountFrequency (%)
5 93443
 
10.5%
4 181695
20.4%
3 328454
36.9%
2 129303
 
14.5%
1 52526
 
5.9%

KBA13_SITZE_5
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.842810416
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:01.521538image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.056045367
Coefficient of variation (CV)0.3714793505
Kurtosis-0.3663480459
Mean2.842810416
Median Absolute Deviation (MAD)1
Skewness0.08106634845
Sum2232803
Variance1.115231817
MonotonicityNot monotonic
2023-02-17T12:45:01.634919image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 330228
37.1%
2 179693
20.2%
4 128787
 
14.5%
1 91495
 
10.3%
5 55218
 
6.2%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 91495
 
10.3%
2 179693
20.2%
3 330228
37.1%
4 128787
 
14.5%
5 55218
 
6.2%
ValueCountFrequency (%)
5 55218
 
6.2%
4 128787
 
14.5%
3 330228
37.1%
2 179693
20.2%
1 91495
 
10.3%

KBA13_SITZE_6
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.071780612
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:01.756640image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.041083422
Coefficient of variation (CV)0.3389185473
Kurtosis-0.3359134628
Mean3.071780612
Median Absolute Deviation (MAD)1
Skewness-0.01783118518
Sum2412641
Variance1.083854693
MonotonicityNot monotonic
2023-02-17T12:45:01.866869image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 336224
37.7%
4 166528
18.7%
2 147292
16.5%
5 76974
 
8.6%
1 58403
 
6.6%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 58403
 
6.6%
2 147292
16.5%
3 336224
37.7%
4 166528
18.7%
5 76974
 
8.6%
ValueCountFrequency (%)
5 76974
 
8.6%
4 166528
18.7%
3 336224
37.7%
2 147292
16.5%
1 58403
 
6.6%

KBA13_TOYOTA
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.074966165
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:01.992094image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.00738911
Coefficient of variation (CV)0.3276098194
Kurtosis-0.275069165
Mean3.074966165
Median Absolute Deviation (MAD)1
Skewness0.03088738237
Sum2415143
Variance1.014832818
MonotonicityNot monotonic
2023-02-17T12:45:02.102160image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 343193
38.5%
4 166426
18.7%
2 156050
17.5%
5 72002
 
8.1%
1 47750
 
5.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 47750
 
5.4%
2 156050
17.5%
3 343193
38.5%
4 166426
18.7%
5 72002
 
8.1%
ValueCountFrequency (%)
5 72002
 
8.1%
4 166426
18.7%
3 343193
38.5%
2 156050
17.5%
1 47750
 
5.4%

KBA13_VORB_0
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.117557335
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:02.228148image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9754946668
Coefficient of variation (CV)0.3129035209
Kurtosis-0.2348234341
Mean3.117557335
Median Absolute Deviation (MAD)1
Skewness0.05883266026
Sum2448595
Variance0.9515898451
MonotonicityNot monotonic
2023-02-17T12:45:02.338522image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 349837
39.3%
4 174276
19.6%
2 153752
17.3%
5 71730
 
8.0%
1 35826
 
4.0%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 35826
 
4.0%
2 153752
17.3%
3 349837
39.3%
4 174276
19.6%
5 71730
 
8.0%
ValueCountFrequency (%)
5 71730
 
8.0%
4 174276
19.6%
3 349837
39.3%
2 153752
17.3%
1 35826
 
4.0%

KBA13_VORB_1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.980660054
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:02.462446image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9573924606
Coefficient of variation (CV)0.3212014934
Kurtosis-0.1143704123
Mean2.980660054
Median Absolute Deviation (MAD)1
Skewness0.01130679911
Sum2341073
Variance0.9166003237
MonotonicityNot monotonic
2023-02-17T12:45:02.572732image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 361449
40.6%
2 167076
18.7%
4 158150
17.7%
1 50939
 
5.7%
5 47807
 
5.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 50939
 
5.7%
2 167076
18.7%
3 361449
40.6%
4 158150
17.7%
5 47807
 
5.4%
ValueCountFrequency (%)
5 47807
 
5.4%
4 158150
17.7%
3 361449
40.6%
2 167076
18.7%
1 50939
 
5.7%

KBA13_VORB_1_2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.916886612
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:02.703800image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9618988892
Coefficient of variation (CV)0.329769037
Kurtosis-0.1425131331
Mean2.916886612
Median Absolute Deviation (MAD)1
Skewness-0.01957916548
Sum2290984
Variance0.9252494731
MonotonicityNot monotonic
2023-02-17T12:45:02.820968image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 359262
40.3%
2 173047
19.4%
4 151120
17.0%
1 61834
 
6.9%
5 40158
 
4.5%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 61834
 
6.9%
2 173047
19.4%
3 359262
40.3%
4 151120
17.0%
5 40158
 
4.5%
ValueCountFrequency (%)
5 40158
 
4.5%
4 151120
17.0%
3 359262
40.3%
2 173047
19.4%
1 61834
 
6.9%

KBA13_VORB_2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean3.011097233
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:02.947481image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9438052494
Coefficient of variation (CV)0.3134423024
Kurtosis-0.09426693007
Mean3.011097233
Median Absolute Deviation (MAD)1
Skewness0.03479750123
Sum2364979
Variance0.8907683488
MonotonicityNot monotonic
2023-02-17T12:45:03.056764image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 363866
40.8%
2 166317
18.7%
4 162515
18.2%
5 49491
 
5.6%
1 43232
 
4.9%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 43232
 
4.9%
2 166317
18.7%
3 363866
40.8%
4 162515
18.2%
5 49491
 
5.6%
ValueCountFrequency (%)
5 49491
 
5.6%
4 162515
18.2%
3 363866
40.8%
2 166317
18.7%
1 43232
 
4.9%

KBA13_VORB_3
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.354173112
Minimum0
Maximum5
Zeros143284
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:03.176150image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.469417336
Coefficient of variation (CV)0.6241755664
Kurtosis-0.7135883338
Mean2.354173112
Median Absolute Deviation (MAD)1
Skewness-0.1573543125
Sum1849017
Variance2.159187307
MonotonicityNot monotonic
2023-02-17T12:45:03.283017image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 264685
29.7%
2 177458
19.9%
0 143284
16.1%
4 81176
 
9.1%
5 64131
 
7.2%
1 54687
 
6.1%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
0 143284
16.1%
1 54687
 
6.1%
2 177458
19.9%
3 264685
29.7%
4 81176
 
9.1%
ValueCountFrequency (%)
5 64131
 
7.2%
4 81176
 
9.1%
3 264685
29.7%
2 177458
19.9%
1 54687
 
6.1%

KBA13_VW
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing105800
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean2.935192718
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:03.389824image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.028888231
Coefficient of variation (CV)0.3505351537
Kurtosis-0.314335131
Mean2.935192718
Median Absolute Deviation (MAD)1
Skewness0.02891231007
Sum2305362
Variance1.058610991
MonotonicityNot monotonic
2023-02-17T12:45:03.498964image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 336588
37.8%
2 171175
19.2%
4 149018
16.7%
1 71506
 
8.0%
5 57134
 
6.4%
(Missing) 105800
 
11.9%
ValueCountFrequency (%)
1 71506
 
8.0%
2 171175
19.2%
3 336588
37.8%
4 149018
16.7%
5 57134
 
6.4%
ValueCountFrequency (%)
5 57134
 
6.4%
4 149018
16.7%
3 336588
37.8%
2 171175
19.2%
1 71506
 
8.0%

KK_KUNDENTYP
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing584612
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean3.410640262
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:03.619112image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.628844193
Coefficient of variation (CV)0.4775772489
Kurtosis-1.160216118
Mean3.410640262
Median Absolute Deviation (MAD)1
Skewness0.1480185173
Sum1045733
Variance2.653133406
MonotonicityNot monotonic
2023-02-17T12:45:03.731379image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 65151
 
7.3%
2 62564
 
7.0%
5 48038
 
5.4%
4 44512
 
5.0%
6 44114
 
4.9%
1 42230
 
4.7%
(Missing) 584612
65.6%
ValueCountFrequency (%)
1 42230
4.7%
2 62564
7.0%
3 65151
7.3%
4 44512
5.0%
5 48038
5.4%
ValueCountFrequency (%)
6 44114
4.9%
5 48038
5.4%
4 44512
5.0%
3 65151
7.3%
2 62564
7.0%

KKK
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing158064
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.723383941
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:03.840413image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9798673599
Coefficient of variation (CV)0.35979773
Kurtosis-0.9173166125
Mean2.723383941
Median Absolute Deviation (MAD)1
Skewness-0.2941959818
Sum1996668
Variance0.960140043
MonotonicityNot monotonic
2023-02-17T12:45:03.942700image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 273024
30.6%
2 181519
20.4%
4 178648
20.0%
1 99966
 
11.2%
(Missing) 158064
17.7%
ValueCountFrequency (%)
1 99966
 
11.2%
2 181519
20.4%
3 273024
30.6%
4 178648
20.0%
ValueCountFrequency (%)
4 178648
20.0%
3 273024
30.6%
2 181519
20.4%
1 99966
 
11.2%

KOMBIALTER
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.517954581
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:04.054039image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.110462436
Coefficient of variation (CV)0.5999117916
Kurtosis2.058678418
Mean3.517954581
Median Absolute Deviation (MAD)1
Skewness1.584797468
Sum3135275
Variance4.454051693
MonotonicityNot monotonic
2023-02-17T12:45:04.156475image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 272770
30.6%
3 246214
27.6%
2 183764
20.6%
1 94779
 
10.6%
9 93694
 
10.5%
ValueCountFrequency (%)
1 94779
 
10.6%
2 183764
20.6%
3 246214
27.6%
4 272770
30.6%
9 93694
 
10.5%
ValueCountFrequency (%)
9 93694
 
10.5%
4 272770
30.6%
3 246214
27.6%
2 183764
20.6%
1 94779
 
10.6%

KONSUMNAEHE
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing73969
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean3.018452081
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:04.271166image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.550311878
Coefficient of variation (CV)0.5136115586
Kurtosis-1.089230428
Mean3.018452081
Median Absolute Deviation (MAD)1
Skewness0.1833736883
Sum2466836
Variance2.403466919
MonotonicityNot monotonic
2023-02-17T12:45:04.373732image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 193738
21.7%
3 171127
19.2%
5 153535
17.2%
2 134665
15.1%
4 133324
15.0%
6 26625
 
3.0%
7 4238
 
0.5%
(Missing) 73969
 
8.3%
ValueCountFrequency (%)
1 193738
21.7%
2 134665
15.1%
3 171127
19.2%
4 133324
15.0%
5 153535
17.2%
ValueCountFrequency (%)
7 4238
 
0.5%
6 26625
 
3.0%
5 153535
17.2%
4 133324
15.0%
3 171127
19.2%

KONSUMZELLE
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing93155
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean0.2361646781
Minimum0
Maximum1
Zeros609591
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:04.486129image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.424724792
Coefficient of variation (CV)1.798426401
Kurtosis-0.4564791614
Mean0.2361646781
Median Absolute Deviation (MAD)0
Skewness1.242385601
Sum188475
Variance0.180391149
MonotonicityNot monotonic
2023-02-17T12:45:04.593328image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 609591
68.4%
1 188475
 
21.1%
(Missing) 93155
 
10.5%
ValueCountFrequency (%)
0 609591
68.4%
1 188475
 
21.1%
ValueCountFrequency (%)
1 188475
 
21.1%
0 609591
68.4%

LP_FAMILIE_FEIN
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.599574443
Minimum0
Maximum11
Zeros72938
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:04.714298image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q38
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.926486236
Coefficient of variation (CV)1.090819567
Kurtosis-0.9106001239
Mean3.599574443
Median Absolute Deviation (MAD)1
Skewness0.9410430432
Sum3190544
Variance15.41729416
MonotonicityNot monotonic
2023-02-17T12:45:04.825186image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 426379
47.8%
10 137913
 
15.5%
2 104305
 
11.7%
0 72938
 
8.2%
11 51719
 
5.8%
8 23032
 
2.6%
7 20730
 
2.3%
4 12303
 
1.4%
5 11920
 
1.3%
9 11148
 
1.3%
Other values (2) 13980
 
1.6%
ValueCountFrequency (%)
0 72938
 
8.2%
1 426379
47.8%
2 104305
 
11.7%
3 4958
 
0.6%
4 12303
 
1.4%
ValueCountFrequency (%)
11 51719
 
5.8%
10 137913
15.5%
9 11148
 
1.3%
8 23032
 
2.6%
7 20730
 
2.3%

LP_FAMILIE_GROB
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.185965858
Minimum0
Maximum5
Zeros72938
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:04.938049image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.756537367
Coefficient of variation (CV)0.803552059
Kurtosis-1.141298857
Mean2.185965858
Median Absolute Deviation (MAD)1
Skewness0.6934485098
Sum1937568
Variance3.08542352
MonotonicityNot monotonic
2023-02-17T12:45:05.049330image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 426379
47.8%
5 200780
22.5%
2 104305
 
11.7%
0 72938
 
8.2%
4 52784
 
5.9%
3 29181
 
3.3%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
0 72938
 
8.2%
1 426379
47.8%
2 104305
 
11.7%
3 29181
 
3.3%
4 52784
 
5.9%
ValueCountFrequency (%)
5 200780
22.5%
4 52784
 
5.9%
3 29181
 
3.3%
2 104305
 
11.7%
1 426379
47.8%

LP_LEBENSPHASE_FEIN
Real number (ℝ)

Distinct41
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean14.62263712
Minimum0
Maximum40
Zeros92778
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:05.182997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q327
95-th percentile38
Maximum40
Range40
Interquartile range (IQR)23

Descriptive statistics

Standard deviation12.61688274
Coefficient of variation (CV)0.8628322399
Kurtosis-1.060101299
Mean14.62263712
Median Absolute Deviation (MAD)9
Skewness0.5547653618
Sum12961023
Variance159.1857302
MonotonicityNot monotonic
2023-02-17T12:45:05.338901image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 92778
 
10.4%
1 62667
 
7.0%
5 55542
 
6.2%
6 45614
 
5.1%
2 39434
 
4.4%
8 30475
 
3.4%
11 26710
 
3.0%
29 26577
 
3.0%
7 26508
 
3.0%
13 26085
 
2.9%
Other values (31) 453977
50.9%
ValueCountFrequency (%)
0 92778
10.4%
1 62667
7.0%
2 39434
4.4%
3 19985
 
2.2%
4 17595
 
2.0%
ValueCountFrequency (%)
40 15150
1.7%
39 16182
1.8%
38 13914
1.6%
37 18525
2.1%
36 10505
1.2%

LP_LEBENSPHASE_GROB
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.453621355
Minimum0
Maximum12
Zeros89718
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:05.474272image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.855639394
Coefficient of variation (CV)0.8657312974
Kurtosis-0.8136004432
Mean4.453621355
Median Absolute Deviation (MAD)2
Skewness0.7519252624
Sum3947543
Variance14.86595514
MonotonicityNot monotonic
2023-02-17T12:45:05.600201image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 158139
17.7%
1 139681
15.7%
3 115624
13.0%
0 89718
10.1%
12 74276
8.3%
4 54443
 
6.1%
5 49672
 
5.6%
9 48938
 
5.5%
10 41092
 
4.6%
11 32819
 
3.7%
Other values (3) 81965
9.2%
ValueCountFrequency (%)
0 89718
10.1%
1 139681
15.7%
2 158139
17.7%
3 115624
13.0%
4 54443
 
6.1%
ValueCountFrequency (%)
12 74276
8.3%
11 32819
3.7%
10 41092
4.6%
9 48938
5.5%
8 30323
3.4%

LP_STATUS_FEIN
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.791150844
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:05.724532image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.425305064
Coefficient of variation (CV)0.7149232357
Kurtosis-1.463356931
Mean4.791150844
Median Absolute Deviation (MAD)3
Skewness0.3702895041
Sum4246718
Variance11.73271478
MonotonicityNot monotonic
2023-02-17T12:45:05.824600image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 219275
24.6%
9 143238
16.1%
2 118236
13.3%
10 118022
13.2%
4 78317
 
8.8%
5 74493
 
8.4%
3 74105
 
8.3%
6 30914
 
3.5%
8 19708
 
2.2%
7 10059
 
1.1%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 219275
24.6%
2 118236
13.3%
3 74105
 
8.3%
4 78317
 
8.8%
5 74493
 
8.4%
ValueCountFrequency (%)
10 118022
13.2%
9 143238
16.1%
8 19708
 
2.2%
7 10059
 
1.1%
6 30914
 
3.5%

LP_STATUS_GROB
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.432574769
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:05.929505image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.474314564
Coefficient of variation (CV)0.6060716338
Kurtosis-1.198204821
Mean2.432574769
Median Absolute Deviation (MAD)1
Skewness0.5709267548
Sum2156154
Variance2.173603435
MonotonicityNot monotonic
2023-02-17T12:45:06.041651image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 337511
37.9%
2 226915
25.5%
4 162946
18.3%
5 118022
 
13.2%
3 40973
 
4.6%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 337511
37.9%
2 226915
25.5%
3 40973
 
4.6%
4 162946
18.3%
5 118022
 
13.2%
ValueCountFrequency (%)
5 118022
 
13.2%
4 162946
18.3%
3 40973
 
4.6%
2 226915
25.5%
1 337511
37.9%

MIN_GEBAEUDEJAHR
Real number (ℝ)

Distinct32
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean1993.277011
Minimum1985
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:06.180705image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q11992
median1992
Q31993
95-th percentile2000
Maximum2016
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.332738997
Coefficient of variation (CV)0.001671989883
Kurtosis14.22772176
Mean1993.277011
Median Absolute Deviation (MAD)0
Skewness3.556034362
Sum1590780564
Variance11.10714922
MonotonicityNot monotonic
2023-02-17T12:45:06.315486image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1992 568776
63.8%
1994 78835
 
8.8%
1993 25488
 
2.9%
1995 25464
 
2.9%
1996 16611
 
1.9%
1997 14464
 
1.6%
2000 7382
 
0.8%
2001 5877
 
0.7%
1991 5811
 
0.7%
2005 5553
 
0.6%
Other values (22) 43812
 
4.9%
(Missing) 93148
 
10.5%
ValueCountFrequency (%)
1985 116
 
< 0.1%
1986 125
 
< 0.1%
1987 470
 
0.1%
1988 1027
0.1%
1989 2046
0.2%
ValueCountFrequency (%)
2016 128
 
< 0.1%
2015 717
 
0.1%
2014 1001
0.1%
2013 1230
0.1%
2012 1861
0.2%

MOBI_RASTER
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean2.37881873
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:06.445475image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.536927473
Coefficient of variation (CV)0.6460885202
Kurtosis-0.6950184903
Mean2.37881873
Median Absolute Deviation (MAD)1
Skewness0.7552069291
Sum1898471
Variance2.362146056
MonotonicityNot monotonic
2023-02-17T12:45:06.558728image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 355579
39.9%
3 124055
 
13.9%
2 118231
 
13.3%
4 92804
 
10.4%
5 81375
 
9.1%
6 26029
 
2.9%
(Missing) 93148
 
10.5%
ValueCountFrequency (%)
1 355579
39.9%
2 118231
 
13.3%
3 124055
 
13.9%
4 92804
 
10.4%
5 81375
 
9.1%
ValueCountFrequency (%)
6 26029
 
2.9%
5 81375
9.1%
4 92804
10.4%
3 124055
13.9%
2 118231
13.3%

MOBI_REGIO
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing133324
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.963539901
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:06.667263image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.428882174
Coefficient of variation (CV)0.4821538506
Kurtosis-1.315601408
Mean2.963539901
Median Absolute Deviation (MAD)1
Skewness0.02630554031
Sum2246058
Variance2.041704268
MonotonicityNot monotonic
2023-02-17T12:45:06.780413image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 163993
18.4%
3 150336
16.9%
5 148713
16.7%
4 148209
16.6%
2 146305
16.4%
6 341
 
< 0.1%
(Missing) 133324
15.0%
ValueCountFrequency (%)
1 163993
18.4%
2 146305
16.4%
3 150336
16.9%
4 148209
16.6%
5 148713
16.7%
ValueCountFrequency (%)
6 341
 
< 0.1%
5 148713
16.7%
4 148209
16.6%
3 150336
16.9%
2 146305
16.4%

NATIONALITAET_KZ
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing108315
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean1.16888873
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:06.891159image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4750751742
Coefficient of variation (CV)0.4064331891
Kurtosis7.213110858
Mean1.16888873
Median Absolute Deviation (MAD)0
Skewness2.851189614
Sum915130
Variance0.2256964211
MonotonicityNot monotonic
2023-02-17T12:45:07.002682image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 684085
76.8%
2 65418
 
7.3%
3 33403
 
3.7%
(Missing) 108315
 
12.2%
ValueCountFrequency (%)
1 684085
76.8%
2 65418
 
7.3%
3 33403
 
3.7%
ValueCountFrequency (%)
3 33403
 
3.7%
2 65418
 
7.3%
1 684085
76.8%

ONLINE_AFFINITAET
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.6986914
Minimum0
Maximum5
Zeros65716
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:07.126458image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.52152361
Coefficient of variation (CV)0.5638005184
Kurtosis-1.066834259
Mean2.6986914
Median Absolute Deviation (MAD)1
Skewness-0.02418530245
Sum2392031
Variance2.315034097
MonotonicityNot monotonic
2023-02-17T12:45:07.237243image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 197850
22.2%
4 164704
18.5%
3 163487
18.3%
1 156499
17.6%
5 138111
15.5%
0 65716
 
7.4%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
0 65716
 
7.4%
1 156499
17.6%
2 197850
22.2%
3 163487
18.3%
4 164704
18.5%
ValueCountFrequency (%)
5 138111
15.5%
4 164704
18.5%
3 163487
18.3%
2 197850
22.2%
1 156499
17.6%

ORTSGR_KLS9
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing97216
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean5.293001933
Minimum0
Maximum9
Zeros58
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:07.348943image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.303738703
Coefficient of variation (CV)0.4352423694
Kurtosis-0.9404036909
Mean5.293001933
Median Absolute Deviation (MAD)2
Skewness-0.008312889998
Sum4202670
Variance5.307212011
MonotonicityNot monotonic
2023-02-17T12:45:07.466881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 148096
16.6%
4 114909
12.9%
7 102866
11.5%
9 91879
10.3%
3 83542
9.4%
6 75995
8.5%
8 72709
8.2%
2 63362
7.1%
1 40589
 
4.6%
0 58
 
< 0.1%
(Missing) 97216
10.9%
ValueCountFrequency (%)
0 58
 
< 0.1%
1 40589
 
4.6%
2 63362
7.1%
3 83542
9.4%
4 114909
12.9%
ValueCountFrequency (%)
9 91879
10.3%
8 72709
8.2%
7 102866
11.5%
6 75995
8.5%
5 148096
16.6%

OST_WEST_KZ
Categorical

Distinct2
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Memory size6.8 MiB
W
629528 
O
168545 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowW
3rd rowW
4th rowW
5th rowW

Common Values

ValueCountFrequency (%)
W 629528
70.6%
O 168545
 
18.9%
(Missing) 93148
 
10.5%

Common Values (Plot)

2023-02-17T12:45:07.630026image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

PLZ8_ANTG1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean2.25332965
Minimum0
Maximum4
Zeros5470
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:07.732711image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9720077339
Coefficient of variation (CV)0.431365084
Kurtosis-0.8476824134
Mean2.25332965
Median Absolute Deviation (MAD)1
Skewness0.1642256914
Sum1745668
Variance0.9447990347
MonotonicityNot monotonic
2023-02-17T12:45:07.840420image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 270590
30.4%
3 222355
24.9%
1 189247
21.2%
4 87044
 
9.8%
0 5470
 
0.6%
(Missing) 116515
13.1%
ValueCountFrequency (%)
0 5470
 
0.6%
1 189247
21.2%
2 270590
30.4%
3 222355
24.9%
4 87044
 
9.8%
ValueCountFrequency (%)
4 87044
 
9.8%
3 222355
24.9%
2 270590
30.4%
1 189247
21.2%
0 5470
 
0.6%

PLZ8_ANTG2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean2.801857737
Minimum0
Maximum4
Zeros7438
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:07.960983image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9203089398
Coefficient of variation (CV)0.3284638358
Kurtosis-0.2961844436
Mean2.801857737
Median Absolute Deviation (MAD)1
Skewness-0.4226673799
Sum2170616
Variance0.8469685446
MonotonicityNot monotonic
2023-02-17T12:45:08.072685image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 307283
34.5%
2 215767
24.2%
4 191005
21.4%
1 53213
 
6.0%
0 7438
 
0.8%
(Missing) 116515
 
13.1%
ValueCountFrequency (%)
0 7438
 
0.8%
1 53213
 
6.0%
2 215767
24.2%
3 307283
34.5%
4 191005
21.4%
ValueCountFrequency (%)
4 191005
21.4%
3 307283
34.5%
2 215767
24.2%
1 53213
 
6.0%
0 7438
 
0.8%

PLZ8_ANTG3
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.595425878
Minimum0
Maximum3
Zeros119794
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:08.191857image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9867360188
Coefficient of variation (CV)0.6184781334
Kurtosis-1.023897305
Mean1.595425878
Median Absolute Deviation (MAD)1
Skewness-0.08785605194
Sum1235986
Variance0.9736479707
MonotonicityNot monotonic
2023-02-17T12:45:08.292658image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 252994
28.4%
1 237878
26.7%
3 164040
18.4%
0 119794
13.4%
(Missing) 116515
13.1%
ValueCountFrequency (%)
0 119794
13.4%
1 237878
26.7%
2 252994
28.4%
3 164040
18.4%
ValueCountFrequency (%)
3 164040
18.4%
2 252994
28.4%
1 237878
26.7%
0 119794
13.4%

PLZ8_ANTG4
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean0.6991658771
Minimum0
Maximum2
Zeros356389
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:08.411353image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7271368294
Coefficient of variation (CV)1.040006175
Kurtosis-0.9649685644
Mean0.6991658771
Median Absolute Deviation (MAD)1
Skewness0.5294995983
Sum541648
Variance0.5287279687
MonotonicityNot monotonic
2023-02-17T12:45:08.521745image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 356389
40.0%
1 294986
33.1%
2 123331
 
13.8%
(Missing) 116515
 
13.1%
ValueCountFrequency (%)
0 356389
40.0%
1 294986
33.1%
2 123331
 
13.8%
ValueCountFrequency (%)
2 123331
 
13.8%
1 294986
33.1%
0 356389
40.0%

PLZ8_BAUMAX
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean1.943912917
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:08.646128image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.45965373
Coefficient of variation (CV)0.7508843207
Kurtosis-0.166937038
Mean1.943912917
Median Absolute Deviation (MAD)0
Skewness1.208048397
Sum1505961
Variance2.130589011
MonotonicityNot monotonic
2023-02-17T12:45:08.756776image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 499550
56.1%
5 97333
 
10.9%
2 70407
 
7.9%
4 56684
 
6.4%
3 50732
 
5.7%
(Missing) 116515
 
13.1%
ValueCountFrequency (%)
1 499550
56.1%
2 70407
 
7.9%
3 50732
 
5.7%
4 56684
 
6.4%
5 97333
 
10.9%
ValueCountFrequency (%)
5 97333
 
10.9%
4 56684
 
6.4%
3 50732
 
5.7%
2 70407
 
7.9%
1 499550
56.1%

PLZ8_GBZ
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.381086502
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:08.875947image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.111597716
Coefficient of variation (CV)0.3287693808
Kurtosis-0.632323212
Mean3.381086502
Median Absolute Deviation (MAD)1
Skewness-0.152570169
Sum2619348
Variance1.235649482
MonotonicityNot monotonic
2023-02-17T12:45:08.985052image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 288383
32.4%
4 180252
20.2%
5 153883
17.3%
2 111588
 
12.5%
1 40600
 
4.6%
(Missing) 116515
13.1%
ValueCountFrequency (%)
1 40600
 
4.6%
2 111588
 
12.5%
3 288383
32.4%
4 180252
20.2%
5 153883
17.3%
ValueCountFrequency (%)
5 153883
17.3%
4 180252
20.2%
3 288383
32.4%
2 111588
 
12.5%
1 40600
 
4.6%

PLZ8_HHZ
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing116515
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean3.612820864
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:09.111962image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9739665877
Coefficient of variation (CV)0.2695861833
Kurtosis-0.6158403515
Mean3.612820864
Median Absolute Deviation (MAD)1
Skewness-0.0913780638
Sum2798874
Variance0.9486109139
MonotonicityNot monotonic
2023-02-17T12:45:09.217678image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 309146
34.7%
4 211911
23.8%
5 175813
19.7%
2 66891
 
7.5%
1 10945
 
1.2%
(Missing) 116515
 
13.1%
ValueCountFrequency (%)
1 10945
 
1.2%
2 66891
 
7.5%
3 309146
34.7%
4 211911
23.8%
5 175813
19.7%
ValueCountFrequency (%)
5 175813
19.7%
4 211911
23.8%
3 309146
34.7%
2 66891
 
7.5%
1 10945
 
1.2%

PRAEGENDE_JUGENDJAHRE
Real number (ℝ)

Distinct15
Distinct (%)< 0.1%
Missing108164
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean9.280708812
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:09.342772image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q314
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.032106725
Coefficient of variation (CV)0.4344610748
Kurtosis-1.080646253
Mean9.280708812
Median Absolute Deviation (MAD)4
Skewness-0.2123769959
Sum7267324
Variance16.25788464
MonotonicityNot monotonic
2023-02-17T12:45:09.452213image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14 188697
21.2%
8 145988
16.4%
5 86416
9.7%
10 85808
9.6%
3 55195
 
6.2%
15 42547
 
4.8%
11 35752
 
4.0%
9 33570
 
3.8%
6 25652
 
2.9%
12 24446
 
2.7%
Other values (5) 58986
 
6.6%
(Missing) 108164
12.1%
ValueCountFrequency (%)
1 21282
 
2.4%
2 7479
 
0.8%
3 55195
6.2%
4 20451
 
2.3%
5 86416
9.7%
ValueCountFrequency (%)
15 42547
 
4.8%
14 188697
21.2%
13 5764
 
0.6%
12 24446
 
2.7%
11 35752
 
4.0%

REGIOTYP
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing158064
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean4.472085788
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:09.567199image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.836357057
Coefficient of variation (CV)0.4106265273
Kurtosis-1.040699559
Mean4.472085788
Median Absolute Deviation (MAD)1
Skewness-0.4209783529
Sum3278741
Variance3.372207241
MonotonicityNot monotonic
2023-02-17T12:45:09.659902image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 195286
21.9%
5 145359
16.3%
3 93929
10.5%
2 91662
10.3%
7 83943
9.4%
4 68180
 
7.7%
1 54798
 
6.1%
(Missing) 158064
17.7%
ValueCountFrequency (%)
1 54798
 
6.1%
2 91662
10.3%
3 93929
10.5%
4 68180
7.7%
5 145359
16.3%
ValueCountFrequency (%)
7 83943
9.4%
6 195286
21.9%
5 145359
16.3%
4 68180
 
7.7%
3 93929
10.5%

RELAT_AB
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing97375
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean3.071032669
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:09.774591image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.360532406
Coefficient of variation (CV)0.4430211439
Kurtosis-1.065530338
Mean3.071032669
Median Absolute Deviation (MAD)1
Skewness-0.03235728369
Sum2437927
Variance1.851048427
MonotonicityNot monotonic
2023-02-17T12:45:09.881304image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 274008
30.7%
5 174964
19.6%
1 142907
16.0%
2 104846
 
11.8%
4 97121
 
10.9%
(Missing) 97375
 
10.9%
ValueCountFrequency (%)
1 142907
16.0%
2 104846
 
11.8%
3 274008
30.7%
4 97121
 
10.9%
5 174964
19.6%
ValueCountFrequency (%)
5 174964
19.6%
4 97121
 
10.9%
3 274008
30.7%
2 104846
 
11.8%
1 142907
16.0%

RETOURTYP_BK_S
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.419629792
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:10.004040image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.417740994
Coefficient of variation (CV)0.4145890288
Kurtosis-1.124586498
Mean3.419629792
Median Absolute Deviation (MAD)1
Skewness-0.3668840075
Sum3031047
Variance2.009989527
MonotonicityNot monotonic
2023-02-17T12:45:10.114161image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 297993
33.4%
3 231816
26.0%
4 131115
14.7%
1 129712
14.6%
2 95731
 
10.7%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 129712
14.6%
2 95731
 
10.7%
3 231816
26.0%
4 131115
14.7%
5 297993
33.4%
ValueCountFrequency (%)
5 297993
33.4%
4 131115
14.7%
3 231816
26.0%
2 95731
 
10.7%
1 129712
14.6%

RT_KEIN_ANREIZ
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.2337226
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:10.238473image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.388687477
Coefficient of variation (CV)0.4294392713
Kurtosis-1.189059246
Mean3.2337226
Median Absolute Deviation (MAD)1
Skewness-0.2444729811
Sum2866265
Variance1.928452909
MonotonicityNot monotonic
2023-02-17T12:45:10.349240image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 211534
23.7%
4 206707
23.2%
3 186655
20.9%
1 141140
15.8%
2 140331
15.7%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 141140
15.8%
2 140331
15.7%
3 186655
20.9%
4 206707
23.2%
5 211534
23.7%
ValueCountFrequency (%)
5 211534
23.7%
4 206707
23.2%
3 186655
20.9%
2 140331
15.7%
1 141140
15.8%

RT_SCHNAEPPCHEN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing4854
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean3.863796825
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:10.480098image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.282747344
Coefficient of variation (CV)0.3319914071
Kurtosis-0.6207191317
Mean3.863796825
Median Absolute Deviation (MAD)1
Skewness-0.7959123194
Sum3424742
Variance1.64544075
MonotonicityNot monotonic
2023-02-17T12:45:10.587880image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 402504
45.2%
4 182059
20.4%
3 133538
 
15.0%
2 115106
 
12.9%
1 53160
 
6.0%
(Missing) 4854
 
0.5%
ValueCountFrequency (%)
1 53160
 
6.0%
2 115106
 
12.9%
3 133538
 
15.0%
4 182059
20.4%
5 402504
45.2%
ValueCountFrequency (%)
5 402504
45.2%
4 182059
20.4%
3 133538
 
15.0%
2 115106
 
12.9%
1 53160
 
6.0%

RT_UEBERGROESSE
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing51226
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean3.023813237
Minimum0
Maximum5
Zeros24758
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:10.704785image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.502725386
Coefficient of variation (CV)0.4969636907
Kurtosis-1.18388437
Mean3.023813237
Median Absolute Deviation (MAD)1
Skewness-0.1665382214
Sum2539988
Variance2.258183587
MonotonicityNot monotonic
2023-02-17T12:45:10.814722image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 188774
21.2%
4 168467
18.9%
3 155865
17.5%
2 152524
17.1%
1 149607
16.8%
0 24758
 
2.8%
(Missing) 51226
 
5.7%
ValueCountFrequency (%)
0 24758
 
2.8%
1 149607
16.8%
2 152524
17.1%
3 155865
17.5%
4 168467
18.9%
ValueCountFrequency (%)
5 188774
21.2%
4 168467
18.9%
3 155865
17.5%
2 152524
17.1%
1 149607
16.8%

SEMIO_DOM
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.667550473
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:10.926152image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.79571208
Coefficient of variation (CV)0.3847225843
Kurtosis-0.9093931002
Mean4.667550473
Median Absolute Deviation (MAD)1
Skewness-0.4131770759
Sum4159819
Variance3.224581876
MonotonicityNot monotonic
2023-02-17T12:45:11.026592image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 183435
20.6%
5 177889
20.0%
7 161495
18.1%
4 125115
14.0%
2 101498
11.4%
3 97027
10.9%
1 44762
 
5.0%
ValueCountFrequency (%)
1 44762
 
5.0%
2 101498
11.4%
3 97027
10.9%
4 125115
14.0%
5 177889
20.0%
ValueCountFrequency (%)
7 161495
18.1%
6 183435
20.6%
5 177889
20.0%
4 125115
14.0%
3 97027
10.9%

SEMIO_ERL
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.481404725
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:11.139224image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.807551899
Coefficient of variation (CV)0.4033449354
Kurtosis-1.105118991
Mean4.481404725
Median Absolute Deviation (MAD)1
Skewness-0.04328868758
Sum3993922
Variance3.267243868
MonotonicityNot monotonic
2023-02-17T12:45:11.233911image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 196206
22.0%
3 180824
20.3%
7 179141
20.1%
6 139209
15.6%
2 77012
 
8.6%
5 76133
 
8.5%
1 42696
 
4.8%
ValueCountFrequency (%)
1 42696
 
4.8%
2 77012
 
8.6%
3 180824
20.3%
4 196206
22.0%
5 76133
 
8.5%
ValueCountFrequency (%)
7 179141
20.1%
6 139209
15.6%
5 76133
 
8.5%
4 196206
22.0%
3 180824
20.3%

SEMIO_FAM
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.272729211
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:11.344873image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.915885028
Coefficient of variation (CV)0.4483984202
Kurtosis-1.19892824
Mean4.272729211
Median Absolute Deviation (MAD)2
Skewness-0.2058485462
Sum3807946
Variance3.67061544
MonotonicityNot monotonic
2023-02-17T12:45:11.448469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 186729
21.0%
2 139562
15.7%
4 135942
15.3%
5 133740
15.0%
7 118517
13.3%
3 94815
10.6%
1 81916
9.2%
ValueCountFrequency (%)
1 81916
9.2%
2 139562
15.7%
3 94815
10.6%
4 135942
15.3%
5 133740
15.0%
ValueCountFrequency (%)
7 118517
13.3%
6 186729
21.0%
5 133740
15.0%
4 135942
15.3%
3 94815
10.6%

SEMIO_KAEM
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.445007467
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:11.565665image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.852412242
Coefficient of variation (CV)0.4167399618
Kurtosis-1.236079929
Mean4.445007467
Median Absolute Deviation (MAD)2
Skewness-0.1927373604
Sum3961484
Variance3.431431115
MonotonicityNot monotonic
2023-02-17T12:45:11.660298image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 206001
23.1%
3 180955
20.3%
7 135579
15.2%
5 128501
14.4%
2 114038
12.8%
4 78944
 
8.9%
1 47203
 
5.3%
ValueCountFrequency (%)
1 47203
 
5.3%
2 114038
12.8%
3 180955
20.3%
4 78944
8.9%
5 128501
14.4%
ValueCountFrequency (%)
7 135579
15.2%
6 206001
23.1%
5 128501
14.4%
4 78944
 
8.9%
3 180955
20.3%

SEMIO_KRIT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.76322259
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:11.769423image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.830789358
Coefficient of variation (CV)0.3843593961
Kurtosis-0.8752505716
Mean4.76322259
Median Absolute Deviation (MAD)2
Skewness-0.3882238006
Sum4245084
Variance3.351789675
MonotonicityNot monotonic
2023-02-17T12:45:11.864946image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 219847
24.7%
5 156298
17.5%
4 144079
16.2%
6 133049
14.9%
3 129106
14.5%
1 54947
 
6.2%
2 53895
 
6.0%
ValueCountFrequency (%)
1 54947
 
6.2%
2 53895
 
6.0%
3 129106
14.5%
4 144079
16.2%
5 156298
17.5%
ValueCountFrequency (%)
7 219847
24.7%
6 133049
14.9%
5 156298
17.5%
4 144079
16.2%
3 129106
14.5%

SEMIO_KULT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.025013998
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:11.973189image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.90381623
Coefficient of variation (CV)0.4729961763
Kurtosis-1.05018586
Mean4.025013998
Median Absolute Deviation (MAD)1
Skewness-0.03536077331
Sum3587177
Variance3.624516239
MonotonicityNot monotonic
2023-02-17T12:45:12.070479image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 209067
23.5%
5 176282
19.8%
1 128216
14.4%
7 117378
13.2%
4 101502
11.4%
6 101286
11.4%
2 57490
 
6.5%
ValueCountFrequency (%)
1 128216
14.4%
2 57490
 
6.5%
3 209067
23.5%
4 101502
11.4%
5 176282
19.8%
ValueCountFrequency (%)
7 117378
13.2%
6 101286
11.4%
5 176282
19.8%
4 101502
11.4%
3 209067
23.5%

SEMIO_LUST
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.359086018
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:12.179838image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.022829383
Coefficient of variation (CV)0.4640489714
Kurtosis-1.207111475
Mean4.359086018
Median Absolute Deviation (MAD)2
Skewness-0.3030834485
Sum3884909
Variance4.091838712
MonotonicityNot monotonic
2023-02-17T12:45:12.283587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 170040
19.1%
6 158624
17.8%
7 158234
17.8%
2 114373
12.8%
1 110382
12.4%
4 97495
10.9%
3 82073
9.2%
ValueCountFrequency (%)
1 110382
12.4%
2 114373
12.8%
3 82073
9.2%
4 97495
10.9%
5 170040
19.1%
ValueCountFrequency (%)
7 158234
17.8%
6 158624
17.8%
5 170040
19.1%
4 97495
10.9%
3 82073
9.2%

SEMIO_MAT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.001596686
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:12.394363image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.857540107
Coefficient of variation (CV)0.4641997315
Kurtosis-1.036445759
Mean4.001596686
Median Absolute Deviation (MAD)1
Skewness0.01186754272
Sum3566307
Variance3.45045525
MonotonicityNot monotonic
2023-02-17T12:45:12.494205image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 171267
19.2%
4 162862
18.3%
2 134549
15.1%
3 123701
13.9%
7 111976
12.6%
1 97341
10.9%
6 89525
10.0%
ValueCountFrequency (%)
1 97341
10.9%
2 134549
15.1%
3 123701
13.9%
4 162862
18.3%
5 171267
19.2%
ValueCountFrequency (%)
7 111976
12.6%
6 89525
10.0%
5 171267
19.2%
4 162862
18.3%
3 123701
13.9%

SEMIO_PFLICHT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.256075654
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:12.605318image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.770136694
Coefficient of variation (CV)0.4159081836
Kurtosis-0.8653655223
Mean4.256075654
Median Absolute Deviation (MAD)1
Skewness-0.1694070752
Sum3793104
Variance3.133383917
MonotonicityNot monotonic
2023-02-17T12:45:12.700590image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 203845
22.9%
4 162117
18.2%
3 133990
15.0%
7 115458
13.0%
6 109442
12.3%
2 92214
10.3%
1 74155
 
8.3%
ValueCountFrequency (%)
1 74155
 
8.3%
2 92214
10.3%
3 133990
15.0%
4 162117
18.2%
5 203845
22.9%
ValueCountFrequency (%)
7 115458
13.0%
6 109442
12.3%
5 203845
22.9%
4 162117
18.2%
3 133990
15.0%

SEMIO_RAT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.910139012
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:12.808928image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.580305974
Coefficient of variation (CV)0.404155957
Kurtosis-0.3831343065
Mean3.910139012
Median Absolute Deviation (MAD)1
Skewness0.2879717072
Sum3484798
Variance2.497366972
MonotonicityNot monotonic
2023-02-17T12:45:12.909936image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 334456
37.5%
2 140433
15.8%
3 131994
 
14.8%
5 89056
 
10.0%
7 87024
 
9.8%
6 61484
 
6.9%
1 46774
 
5.2%
ValueCountFrequency (%)
1 46774
 
5.2%
2 140433
15.8%
3 131994
 
14.8%
4 334456
37.5%
5 89056
 
10.0%
ValueCountFrequency (%)
7 87024
 
9.8%
6 61484
 
6.9%
5 89056
 
10.0%
4 334456
37.5%
3 131994
 
14.8%

SEMIO_REL
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.240609232
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:13.023326image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.007372556
Coefficient of variation (CV)0.4733689067
Kurtosis-1.134701252
Mean4.240609232
Median Absolute Deviation (MAD)2
Skewness0.00215072809
Sum3779320
Variance4.029544578
MonotonicityNot monotonic
2023-02-17T12:45:13.122130image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 211377
23.7%
4 207128
23.2%
3 150801
16.9%
1 108130
12.1%
5 79566
 
8.9%
2 73127
 
8.2%
6 61092
 
6.9%
ValueCountFrequency (%)
1 108130
12.1%
2 73127
 
8.2%
3 150801
16.9%
4 207128
23.2%
5 79566
 
8.9%
ValueCountFrequency (%)
7 211377
23.7%
6 61092
 
6.9%
5 79566
 
8.9%
4 207128
23.2%
3 150801
16.9%

SEMIO_SOZ
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.945859669
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:13.231565image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.946564233
Coefficient of variation (CV)0.4933181603
Kurtosis-1.353534476
Mean3.945859669
Median Absolute Deviation (MAD)2
Skewness0.1789455842
Sum3516633
Variance3.789112312
MonotonicityNot monotonic
2023-02-17T12:45:13.326823image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 244714
27.5%
6 136205
15.3%
5 121786
13.7%
3 118889
13.3%
7 117378
13.2%
4 90161
 
10.1%
1 62088
 
7.0%
ValueCountFrequency (%)
1 62088
 
7.0%
2 244714
27.5%
3 118889
13.3%
4 90161
 
10.1%
5 121786
13.7%
ValueCountFrequency (%)
7 117378
13.2%
6 136205
15.3%
5 121786
13.7%
4 90161
10.1%
3 118889
13.3%

SEMIO_TRADV
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.661784226
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:13.440918image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.707636767
Coefficient of variation (CV)0.4663400849
Kurtosis-0.655924441
Mean3.661784226
Median Absolute Deviation (MAD)1
Skewness0.3343106362
Sum3263459
Variance2.916023328
MonotonicityNot monotonic
2023-02-17T12:45:13.539092image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 226571
25.4%
4 174203
19.5%
2 132657
14.9%
5 117378
13.2%
1 96775
10.9%
7 76133
 
8.5%
6 67504
 
7.6%
ValueCountFrequency (%)
1 96775
10.9%
2 132657
14.9%
3 226571
25.4%
4 174203
19.5%
5 117378
13.2%
ValueCountFrequency (%)
7 76133
 
8.5%
6 67504
 
7.6%
5 117378
13.2%
4 174203
19.5%
3 226571
25.4%

SEMIO_VERT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.023709046
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:13.643261image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.077746254
Coefficient of variation (CV)0.5163758687
Kurtosis-1.411240267
Mean4.023709046
Median Absolute Deviation (MAD)2
Skewness-0.03560142861
Sum3586014
Variance4.317029496
MonotonicityNot monotonic
2023-02-17T12:45:13.735980image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 204333
22.9%
6 141714
15.9%
5 135205
15.2%
7 134756
15.1%
4 122982
13.8%
1 120437
13.5%
3 31794
 
3.6%
ValueCountFrequency (%)
1 120437
13.5%
2 204333
22.9%
3 31794
 
3.6%
4 122982
13.8%
5 135205
15.2%
ValueCountFrequency (%)
7 134756
15.1%
6 141714
15.9%
5 135205
15.2%
4 122982
13.8%
3 31794
 
3.6%

SHOPPER_TYP
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing111196
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean1.59013365
Minimum0
Maximum3
Zeros127582
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:13.841203image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.027971557
Coefficient of variation (CV)0.646468652
Kurtosis-1.158491287
Mean1.59013365
Median Absolute Deviation (MAD)1
Skewness-0.02120470661
Sum1240344
Variance1.056725522
MonotonicityNot monotonic
2023-02-17T12:45:13.941253image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 254761
28.6%
2 207463
23.3%
3 190219
21.3%
0 127582
14.3%
(Missing) 111196
12.5%
ValueCountFrequency (%)
0 127582
14.3%
1 254761
28.6%
2 207463
23.3%
3 190219
21.3%
ValueCountFrequency (%)
3 190219
21.3%
2 207463
23.3%
1 254761
28.6%
0 127582
14.3%

SOHO_KZ
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.008423400618
Minimum0
Maximum1
Zeros810834
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:14.052232image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09139177837
Coefficient of variation (CV)10.84974852
Kurtosis113.7260966
Mean0.008423400618
Median Absolute Deviation (MAD)0
Skewness10.75759353
Sum6888
Variance0.008352457154
MonotonicityNot monotonic
2023-02-17T12:45:14.154406image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 810834
91.0%
1 6888
 
0.8%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
0 810834
91.0%
1 6888
 
0.8%
ValueCountFrequency (%)
1 6888
 
0.8%
0 810834
91.0%

STRUKTURTYP
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean2.539212315
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:14.263372image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7549256789
Coefficient of variation (CV)0.2973070327
Kurtosis-0.08902972426
Mean2.539212315
Median Absolute Deviation (MAD)0
Skewness-1.253891367
Sum2016000
Variance0.5699127807
MonotonicityNot monotonic
2023-02-17T12:45:14.368185image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 555713
62.4%
1 127607
 
14.3%
2 110627
 
12.4%
(Missing) 97274
 
10.9%
ValueCountFrequency (%)
1 127607
 
14.3%
2 110627
 
12.4%
3 555713
62.4%
ValueCountFrequency (%)
3 555713
62.4%
2 110627
 
12.4%
1 127607
 
14.3%

TITEL_KZ
Real number (ℝ)

Distinct5
Distinct (%)0.2%
Missing889061
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.318518519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:14.491774image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9995041057
Coefficient of variation (CV)0.7580508667
Kurtosis7.450011955
Mean1.318518519
Median Absolute Deviation (MAD)0
Skewness2.998987841
Sum2848
Variance0.9990084573
MonotonicityNot monotonic
2023-02-17T12:45:14.597933image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1947
 
0.2%
5 104
 
< 0.1%
4 57
 
< 0.1%
3 49
 
< 0.1%
2 3
 
< 0.1%
(Missing) 889061
99.8%
ValueCountFrequency (%)
1 1947
0.2%
2 3
 
< 0.1%
3 49
 
< 0.1%
4 57
 
< 0.1%
5 104
 
< 0.1%
ValueCountFrequency (%)
5 104
 
< 0.1%
4 57
 
< 0.1%
3 49
 
< 0.1%
2 3
 
< 0.1%
1 1947
0.2%

UMFELD_ALT
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing97786
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean3.223124768
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:14.721462image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255784944
Coefficient of variation (CV)0.3896172302
Kurtosis-0.8971821
Mean3.223124768
Median Absolute Deviation (MAD)1
Skewness-0.2924290274
Sum2557340
Variance1.576995827
MonotonicityNot monotonic
2023-02-17T12:45:14.837901image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 228222
25.6%
3 208733
23.4%
5 135160
15.2%
2 121133
13.6%
1 100187
11.2%
(Missing) 97786
11.0%
ValueCountFrequency (%)
1 100187
11.2%
2 121133
13.6%
3 208733
23.4%
4 228222
25.6%
5 135160
15.2%
ValueCountFrequency (%)
5 135160
15.2%
4 228222
25.6%
3 208733
23.4%
2 121133
13.6%
1 100187
11.2%

UMFELD_JUNG
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing97786
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean4.017526325
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:14.976896image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.118399045
Coefficient of variation (CV)0.2783800166
Kurtosis0.300030341
Mean4.017526325
Median Absolute Deviation (MAD)1
Skewness-1.03921135
Sum3187646
Variance1.250816424
MonotonicityNot monotonic
2023-02-17T12:45:15.097570image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 350532
39.3%
4 225939
25.4%
3 130403
 
14.6%
2 53460
 
6.0%
1 33101
 
3.7%
(Missing) 97786
 
11.0%
ValueCountFrequency (%)
1 33101
 
3.7%
2 53460
 
6.0%
3 130403
 
14.6%
4 225939
25.4%
5 350532
39.3%
ValueCountFrequency (%)
5 350532
39.3%
4 225939
25.4%
3 130403
 
14.6%
2 53460
 
6.0%
1 33101
 
3.7%

UNGLEICHENN_FLAG
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.09006728448
Minimum0
Maximum1
Zeros744072
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:15.238160image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2862783068
Coefficient of variation (CV)3.178493817
Kurtosis6.201838206
Mean0.09006728448
Median Absolute Deviation (MAD)0
Skewness2.863882511
Sum73650
Variance0.08195526897
MonotonicityNot monotonic
2023-02-17T12:45:15.348418image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 744072
83.5%
1 73650
 
8.3%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
0 744072
83.5%
1 73650
 
8.3%
ValueCountFrequency (%)
1 73650
 
8.3%
0 744072
83.5%

VERDICHTUNGSRAUM
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)< 0.1%
Missing97274
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean4.585759503
Minimum0
Maximum45
Zeros368782
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:15.506134image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.471520441
Coefficient of variation (CV)1.847353843
Kurtosis6.350593906
Mean4.585759503
Median Absolute Deviation (MAD)1
Skewness2.532641726
Sum3640850
Variance71.76665858
MonotonicityNot monotonic
2023-02-17T12:45:15.720566image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 368782
41.4%
1 111235
 
12.5%
2 47613
 
5.3%
3 29827
 
3.3%
4 26996
 
3.0%
5 24019
 
2.7%
6 21882
 
2.5%
7 13238
 
1.5%
8 11864
 
1.3%
10 11034
 
1.2%
Other values (36) 127457
 
14.3%
(Missing) 97274
 
10.9%
ValueCountFrequency (%)
0 368782
41.4%
1 111235
 
12.5%
2 47613
 
5.3%
3 29827
 
3.3%
4 26996
 
3.0%
ValueCountFrequency (%)
45 1165
0.1%
44 1435
0.2%
43 1321
0.1%
42 1324
0.1%
41 1329
0.1%

VERS_TYP
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing111196
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean1.511165668
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:15.865331image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4998756327
Coefficient of variation (CV)0.3307881084
Kurtosis-1.998009366
Mean1.511165668
Median Absolute Deviation (MAD)0
Skewness-0.04467389753
Sum1178747
Variance0.2498756482
MonotonicityNot monotonic
2023-02-17T12:45:15.981133image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 398722
44.7%
1 381303
42.8%
(Missing) 111196
 
12.5%
ValueCountFrequency (%)
1 381303
42.8%
2 398722
44.7%
ValueCountFrequency (%)
2 398722
44.7%
1 381303
42.8%

VHA
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.4388202837
Minimum0
Maximum5
Zeros665547
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:16.092363image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.143290454
Coefficient of variation (CV)2.605372853
Kurtosis7.390683117
Mean0.4388202837
Median Absolute Deviation (MAD)0
Skewness2.889777008
Sum358833
Variance1.307113063
MonotonicityNot monotonic
2023-02-17T12:45:16.211070image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 665547
74.7%
1 81016
 
9.1%
4 24469
 
2.7%
5 22372
 
2.5%
3 19445
 
2.2%
2 4873
 
0.5%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
0 665547
74.7%
1 81016
 
9.1%
2 4873
 
0.5%
3 19445
 
2.2%
4 24469
 
2.7%
ValueCountFrequency (%)
5 22372
 
2.5%
4 24469
 
2.7%
3 19445
 
2.2%
2 4873
 
0.5%
1 81016
9.1%

VHN
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing121196
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.417321516
Minimum0
Maximum4
Zeros36868
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:16.340462image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.166572237
Coefficient of variation (CV)0.4825887784
Kurtosis-0.9129215946
Mean2.417321516
Median Absolute Deviation (MAD)1
Skewness-0.1613978673
Sum1861398
Variance1.360890785
MonotonicityNot monotonic
2023-02-17T12:45:16.461283image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 233844
26.2%
3 179579
20.1%
4 178413
20.0%
1 141321
15.9%
0 36868
 
4.1%
(Missing) 121196
13.6%
ValueCountFrequency (%)
0 36868
 
4.1%
1 141321
15.9%
2 233844
26.2%
3 179579
20.1%
4 178413
20.0%
ValueCountFrequency (%)
4 178413
20.0%
3 179579
20.1%
2 233844
26.2%
1 141321
15.9%
0 36868
 
4.1%

VK_DHT4A
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean6.001214271
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:16.604353image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.856091359
Coefficient of variation (CV)0.4759189108
Kurtosis-1.205256256
Mean6.001214271
Median Absolute Deviation (MAD)3
Skewness-0.158692708
Sum4892814
Variance8.157257851
MonotonicityNot monotonic
2023-02-17T12:45:16.716286image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10 114500
12.8%
7 96693
10.8%
9 88238
9.9%
8 86090
9.7%
3 82570
9.3%
6 80078
9.0%
2 74200
8.3%
5 70671
7.9%
4 70198
7.9%
1 49535
5.6%
(Missing) 75917
8.5%
ValueCountFrequency (%)
1 49535
5.6%
2 74200
8.3%
3 82570
9.3%
4 70198
7.9%
5 70671
7.9%
ValueCountFrequency (%)
11 2531
 
0.3%
10 114500
12.8%
9 88238
9.9%
8 86090
9.7%
7 96693
10.8%

VK_DISTANZ
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean7.532130346
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:16.832262image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile12
Maximum13
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.247788909
Coefficient of variation (CV)0.4311912778
Kurtosis-0.7823473088
Mean7.532130346
Median Absolute Deviation (MAD)2
Skewness-0.3536317455
Sum6140976
Variance10.5481328
MonotonicityNot monotonic
2023-02-17T12:45:16.962054image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10 94320
10.6%
8 92104
10.3%
9 89067
10.0%
7 84222
9.5%
6 83291
9.3%
11 79990
9.0%
3 71410
8.0%
12 59994
6.7%
1 44858
5.0%
5 38791
4.4%
Other values (3) 77257
8.7%
(Missing) 75917
8.5%
ValueCountFrequency (%)
1 44858
5.0%
2 19917
 
2.2%
3 71410
8.0%
4 29786
3.3%
5 38791
4.4%
ValueCountFrequency (%)
13 27554
 
3.1%
12 59994
6.7%
11 79990
9.0%
10 94320
10.6%
9 89067
10.0%

VK_ZG11
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing75917
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean5.9459723
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:17.092328image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.771463653
Coefficient of variation (CV)0.4661077304
Kurtosis-1.071798028
Mean5.9459723
Median Absolute Deviation (MAD)2
Skewness-0.09933345399
Sum4847775
Variance7.681010782
MonotonicityNot monotonic
2023-02-17T12:45:17.208959image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10 97938
11.0%
5 97777
11.0%
6 88581
9.9%
7 88552
9.9%
4 86600
9.7%
8 83994
9.4%
9 82134
9.2%
3 69634
7.8%
2 59916
6.7%
1 52009
5.8%
(Missing) 75917
8.5%
ValueCountFrequency (%)
1 52009
5.8%
2 59916
6.7%
3 69634
7.8%
4 86600
9.7%
5 97777
11.0%
ValueCountFrequency (%)
11 8169
 
0.9%
10 97938
11.0%
9 82134
9.2%
8 83994
9.4%
7 88552
9.9%

W_KEIT_KIND_HH
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing147988
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean4.147140937
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:17.324911image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.784211494
Coefficient of variation (CV)0.430226877
Kurtosis-1.203944057
Mean4.147140937
Median Absolute Deviation (MAD)2
Skewness-0.4165784999
Sum3082292
Variance3.183410654
MonotonicityNot monotonic
2023-02-17T12:45:17.441604image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 281966
31.6%
4 128675
14.4%
3 100170
 
11.2%
2 84000
 
9.4%
1 83706
 
9.4%
5 64716
 
7.3%
(Missing) 147988
16.6%
ValueCountFrequency (%)
1 83706
9.4%
2 84000
9.4%
3 100170
11.2%
4 128675
14.4%
5 64716
7.3%
ValueCountFrequency (%)
6 281966
31.6%
5 64716
 
7.3%
4 128675
14.4%
3 100170
 
11.2%
2 84000
 
9.4%

WOHNDAUER_2008
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing73499
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean7.908790518
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:17.565266image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.92313705
Coefficient of variation (CV)0.2431644947
Kurtosis1.194461486
Mean7.908790518
Median Absolute Deviation (MAD)0
Skewness-1.620093885
Sum6467192
Variance3.698456114
MonotonicityNot monotonic
2023-02-17T12:45:17.687584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 551176
61.8%
8 80118
 
9.0%
4 50736
 
5.7%
3 38767
 
4.3%
6 35170
 
3.9%
5 30959
 
3.5%
7 23939
 
2.7%
2 6174
 
0.7%
1 683
 
0.1%
(Missing) 73499
 
8.2%
ValueCountFrequency (%)
1 683
 
0.1%
2 6174
 
0.7%
3 38767
4.3%
4 50736
5.7%
5 30959
3.5%
ValueCountFrequency (%)
9 551176
61.8%
8 80118
 
9.0%
7 23939
 
2.7%
6 35170
 
3.9%
5 30959
 
3.5%

WOHNLAGE
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing93148
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean4.052836019
Minimum0
Maximum8
Zeros6950
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:17.825366image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q35
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.949538668
Coefficient of variation (CV)0.4810307299
Kurtosis-0.8440882651
Mean4.052836019
Median Absolute Deviation (MAD)1
Skewness0.4396769473
Sum3234459
Variance3.800701019
MonotonicityNot monotonic
2023-02-17T12:45:17.950203image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 249719
28.0%
7 169318
19.0%
4 135973
15.3%
2 100376
11.3%
5 74346
 
8.3%
1 43918
 
4.9%
8 17473
 
2.0%
0 6950
 
0.8%
(Missing) 93148
 
10.5%
ValueCountFrequency (%)
0 6950
 
0.8%
1 43918
 
4.9%
2 100376
11.3%
3 249719
28.0%
4 135973
15.3%
ValueCountFrequency (%)
8 17473
 
2.0%
7 169318
19.0%
5 74346
 
8.3%
4 135973
15.3%
3 249719
28.0%

ZABEOTYP
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3624376
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:18.074306image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.352704299
Coefficient of variation (CV)0.4022987071
Kurtosis-0.2449129835
Mean3.3624376
Median Absolute Deviation (MAD)1
Skewness0.02846326419
Sum2996675
Variance1.82980892
MonotonicityNot monotonic
2023-02-17T12:45:18.207152image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 364905
40.9%
4 210095
23.6%
1 123622
 
13.9%
5 84956
 
9.5%
6 74473
 
8.4%
2 33170
 
3.7%
ValueCountFrequency (%)
1 123622
 
13.9%
2 33170
 
3.7%
3 364905
40.9%
4 210095
23.6%
5 84956
 
9.5%
ValueCountFrequency (%)
6 74473
 
8.4%
5 84956
 
9.5%
4 210095
23.6%
3 364905
40.9%
2 33170
 
3.7%

ANREDE_KZ
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.522098335
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:18.333959image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4995117051
Coefficient of variation (CV)0.3281730843
Kurtosis-1.99217577
Mean1.522098335
Median Absolute Deviation (MAD)0
Skewness-0.088479946
Sum1356526
Variance0.2495119436
MonotonicityNot monotonic
2023-02-17T12:45:18.447652image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 465305
52.2%
1 425916
47.8%
ValueCountFrequency (%)
1 425916
47.8%
2 465305
52.2%
ValueCountFrequency (%)
2 465305
52.2%
1 425916
47.8%

ALTERSKATEGORIE_GROB
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.777397525
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 MiB
2023-02-17T12:45:18.565459image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.068774768
Coefficient of variation (CV)0.3848115937
Kurtosis2.430415046
Mean2.777397525
Median Absolute Deviation (MAD)1
Skewness0.2196377488
Sum2475275
Variance1.142279505
MonotonicityNot monotonic
2023-02-17T12:45:19.513264image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 358533
40.2%
4 228510
25.6%
2 158410
17.8%
1 142887
 
16.0%
9 2881
 
0.3%
ValueCountFrequency (%)
1 142887
 
16.0%
2 158410
17.8%
3 358533
40.2%
4 228510
25.6%
9 2881
 
0.3%
ValueCountFrequency (%)
9 2881
 
0.3%
4 228510
25.6%
3 358533
40.2%
2 158410
17.8%
1 142887
 
16.0%